From dd8da1d58970af17704fd172ea8f9b47fa5f66bf Mon Sep 17 00:00:00 2001 From: Yangxinye Yang Date: Tue, 24 Jun 2014 15:12:20 -0500 Subject: [PATCH 01/34] README change --- swift-cloud-tutorial/doc/README | 803 +++++--------------------------- 1 file changed, 107 insertions(+), 696 deletions(-) diff --git a/swift-cloud-tutorial/doc/README b/swift-cloud-tutorial/doc/README index 77ef2e8..fa584c7 100644 --- a/swift-cloud-tutorial/doc/README +++ b/swift-cloud-tutorial/doc/README @@ -1,762 +1,173 @@ -Swift Tutorial for Cloud and Ad hoc Resources ---------------------------------------------- - -This tutorial is viewable at: - http://swiftlang.org/tutorials/cloud - - -Introduction: Why Parallel Scripting? +Swift cloud on Google Compute Engine ------------------------------------ -Swift is a simple scripting language for executing many instances of -ordinary application programs on distributed parallel resources. -Swift scripts run many copies of ordinary programs concurrently, using -statements like this: ------ -foreach protein in proteinList { - runBLAST(protein); -} ------ -Swift acts like a structured "shell" language. It runs programs -concurrently as soon as their inputs are available, reducing the need -for complex parallel programming. Swift expresses your workflow in a -portable fashion: The same script runs on multicore computers, -clusters, clouds, grids, and supercomputers. - -In this tutorial, you'll be able to first try a few Swift examples -(parts 1-3) on your local machine, to get a sense of the -language. Then in parts 4-6 you'll run similar workflows on cloud -compute nodes, and see how more complex workflows can be expressed -with Swift scripts. - -Swift installation ------------------- - -[source, bash] ------ -# Download the swift-0.95 package -wget http://swiftlang.org/packages/swift-0.95-RC6.tar.gz -# Extract package -tar xfz swift-0.95-RC6.tar.gz -# Add swift to the PATH environment variable -export PATH=$PATH:/path/to/swift-0.95-RC6/bin ------ +Sign up online +^^^^^^^^^^^^^^ -Swift tutorial installation ---------------------------- +1. Go to Google's compute engine https://console.developers.google.com/?getstarted=https://cloud.google.com[page] +2. Create a new project and fill in the project and project id. +3. Select the project and then select compute engine from the left panel. +4. Enter billing information. -Get the swift-on-cloud repository: +NOTE: You should sign into your google account. Once the billing info is set, you might need + to wait a few minutes. Please note the project-name and project-id in the config file in + the swift-on-cloud/compute-engine folder. ----- -# Clone the repository from github -git clone git@github.com:yadudoc/swift-on-cloud.git -cd swift-on-cloud ----- +Setup local-machine +^^^^^^^^^^^^^^^^^^^ -Or, download the zip file from github and unpack. +On your local-machine setup Google's cloud SDK based on the document here: +[source,bash] ---- -# Download -wget https://github.com/yadudoc/swift-on-cloud/archive/master.zip -unzip master.zip -mv swift-on-cloud-master swift-on-cloud -cd swift-on-cloud +curl https://dl.google.com/dl/cloudsdk/release/install_google_cloud_sdk.bash | bash +# Restart bash session for the changes to kick in. ---- -To run the tutorial on Google Compute Engine (GCE), follow the instructions here: -https://github.com/yadudoc/swift-on-cloud/tree/master/compute-engine -or, follow instructions for GCE, in the compute-engine folder of the swift-on-cloud -repository. - -Simple "science applications" for the workflow tutorial -------------------------------------------------------- - -This tutorial is based on two intentionally trivial example programs, -`simulation.sh` and `stats.sh`, (implemented as bash shell scripts) -that serve as easy-to-understand proxies for real science -applications. These "programs" behave as follows. - -simulate.sh -~~~~~~~~~~~ - -The simulation.sh script serves as a trivial proxy for any more -complex scientific simulation application. It generates and prints a -set of one or more random integers in the range [0-2^62) as controlled -by its command line arguments, which are: - ------ -$ ./app/simulate.sh --help -./app/simulate.sh: usage: - -b|--bias offset bias: add this integer to all results [0] - -B|--biasfile file of integer biases to add to results [none] - -l|--log generate a log in stderr if not null [y] - -n|--nvalues print this many values per simulation [1] - -r|--range range (limit) of generated results [100] - -s|--seed use this integer [0..32767] as a seed [none] - -S|--seedfile use this file (containing integer seeds [0..32767]) one per line [none] - -t|--timesteps number of simulated "timesteps" in seconds (determines runtime) [1] - -x|--scale scale the results by this integer [1] - -h|-?|?|--help print this help -$ ------ - -All of thess arguments are optional, with default values indicated above as `[n]`. - -//// -.simulation.sh arguments -[width="80%",cols="^2,10",options="header"] - -|======================= -|Argument|Short|Description -|1 |runtime: sets run time of simulation.sh in seconds -|2 |range: limits generated values to the range [0,range-1] -|3 |biasfile: add the integer contained in this file to each value generated -|4 |scale: multiplies each generated value by this integer -|5 |count: number of values to generate in the simulation -|======================= -//// - -With no arguments, simulate.sh prints 1 number in the range of -1-100. Otherwise it generates n numbers of the form (R*scale)+bias -where R is a random integer. By default it logs information about its -execution environment to stderr. Here's some examples of its usage: - +Authenticate via browser, by clicking the link and pasting the response to the commandline +[source,bash] ----- -$ simulate.sh 2>log - 5 -$ head -4 log - -Called as: /home/wilde/swift/tut/CIC_2013-08-09/app/simulate.sh: -Start time: Thu Aug 22 12:40:24 CDT 2013 -Running on node: login01.osgconnect.net - -$ simulate.sh -n 4 -r 1000000 2>log - 239454 - 386702 - 13849 - 873526 - -$ simulate.sh -n 3 -r 1000000 -x 100 2>log - 6643700 -62182300 - 5230600 - -$ simulate.sh -n 2 -r 1000 -x 1000 2>log - 565000 - 636000 - -$ time simulate.sh -n 2 -r 1000 -x 1000 -t 3 2>log - 336000 - 320000 -real 0m3.012s -user 0m0.005s -sys 0m0.006s ------ - -stats.sh -~~~~~~ - -The stats.sh script serves as a trivial model of an "analysis" -program. It reads N files each containing M integers and simply prints -the\ average of all those numbers to stdout. Similarly to simulate.sh -it logs environmental information to the stderr. - +gcloud auth login ----- -$ ls f* -f1 f2 f3 f4 -$ cat f* -25 -60 -40 -75 - -$ stats.sh f* 2>log -50 +Get the swift-on-cloud repository from git +[source,bash] ----- - - -Basic of the Swift language with local execution ------------------------------------------------- - -A Summary of Swift in a nutshell -~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ - -* Swift scripts are text files ending in `.swift` The `swift` command -runs on any host, and executes these scripts. `swift` is a Java -application, which you can install almost anywhere. On Linux, just -unpack the distribution `tar` file and add its `bin/` directory to -your `PATH`. - -* Swift scripts run ordinary applications, just like shell scripts -do. Swift makes it easy to run these applications on parallel and -remote computers (from laptops to supercomputers). If you can `ssh` to -the system, Swift can likely run applications there. - -* The details of where to run applications and how to get files back -and forth are described in configuration files separate from your -program. Swift speaks ssh, PBS, Condor, SLURM, LSF, SGE, Cobalt, and -Globus to run applications, and scp, http, ftp, and GridFTP to move -data. - -* The Swift language has 5 main data types: `boolean`, `int`, -`string`, `float`, and `file`. Collections of these are dynamic, -sparse arrays of arbitrary dimension and structures of scalars and/or -arrays defined by the `type` declaration. - -* Swift file variables are "mapped" to external files. Swift sends -files to and from remote systems for you automatically. - -* Swift variables are "single assignment": once you set them you can't -change them (in a given block of code). This makes Swift a natural, -"parallel data flow" language. This programming model keeps your -workflow scripts simple and easy to write and understand. - -* Swift lets you define functions to "wrap" application programs, and -to cleanly structure more complex scripts. Swift `app` functions take -files and parameters as inputs and return files as outputs. - -* A compact set of built-in functions for string and file -manipulation, type conversions, high level IO, etc. is provided. -Swift's equivalent of `printf()` is `tracef()`, with limited and -slightly different format codes. - -* Swift's `foreach {}` statement is the main parallel workhorse of the -language, and executes all iterations of the loop concurrently. The -actual number of parallel tasks executed is based on available -resources and settable "throttles". - -* In fact, Swift conceptually executes *all* the statements, -expressions and function calls in your program in parallel, based on -data flow. These are similarly throttled based on available resources -and settings. - -* Swift also has `if` and `switch` statements for conditional -execution. These are seldom needed in simple workflows but they enable -very dynamic workflow patterns to be specified. - -We'll see many of these points in action in the examples below. Lets -get started! - -Part 1: Run a single application under Swift -~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ - -The first swift script, p1.swift, runs simulate.sh to generate a -single random number. It writes the number to a file. - -image::part01.png["p1 workflow",align="center"] - -.p1.swift ------ -sys::[cat ../part01/p1.swift] ------ - - -To run this script, run the following command: ------ -$ cd part01 -$ swift p1.swift -Swift 0.94.1 RC2 swift-r6895 cog-r3765 - -RunID: 20130827-1413-oa6fdib2 -Progress: time: Tue, 27 Aug 2013 14:13:33 -0500 -Final status: Tue, 27 Aug 2013 14:13:33 -0500 Finished successfully:1 -$ cat sim.out - 84 -$ swift p1.swift -$ cat sim.out - 36 ------ - -To cleanup the directory and remove all outputs (including the log -files and directories that Swift generates), run the cleanup script -which is located in the tutorial PATH: - ------ -$ cleanup ------- - -NOTE: You'll also find two Swift configuration files in each `partNN` -directory of this tutorial. These specify the environment-specific -details of where to find application programs (file `apps`) and where -to run them (file `sites.xml`). These files will be explained in more -detail in parts 4-6, and can be ignored for now. - -//// -It defines -things like the work directory, the scheduler to use, and how to -control parallelism. The sites.xml file below will tell Swift to run -on the local machine only, and run just 1 task at a time. - -.sites.xml ------ -sys::[cat ../part01/sites.xml] ------ - - In this case, it -indicates that the app "simulate" (the first token in the command line -declaration of the function `simulation`, at line NNN) is located in the file -simulate.sh and (since the path `simulate.sh` is specified with no -directory components) Swift expects that the `simulate.sh` executable -will be available in your $PATH. - -.apps ------ -sys::[cat ../part01/apps] +git clone git@github.com:yadudoc/swift-on-cloud.git +cd swift-on-cloud/compute-engine ----- -//// - -Part 2: Running an ensemble of many apps in parallel with a "foreach" loop -~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ - -The `p2.swift` script introduces the `foreach` parallel iteration -construct to run many concurrent simulations. -image::part02.png[align="center"] -.p2.swift ------ -sys::[cat ../part02/p2.swift] ------ +Manage you Cloud resources +^^^^^^^^^^^^^^^^^^^^^^^^^^ -The script also shows an -example of naming the output files of an ensemble run. In this case, the output files will be named -`output/sim_N.out`. +Update the file *swift-on-cloud/compute-engine/configs* in the cloned repository from the previous step, +with the following information: -In part 2, we also update the apps file. Instead of using shell script (simulate.sh), we use -the equivalent python version (simulate.py). The new apps file now looks like this: - ------ -sys::[cat ../part02/apps] ------ + * GCE_PROJECT : Name of project selected during the compute-engine sign up. + * GCE_PROJECTID : This is the unique ID for your project selected during compute-engine sign up. + * WORKER_MACHINE_TYPE, HEADNODE_MACHINE_TYPE: VM types for workers and headnode, choose between: + - 'f1-micro' + - 'g1-small' + - 'n1-standard-<1,2,4,8>' + - 'n1--<2,4,8>' + * GCE_WORKER_COUNT : Number of workers to start at setup (pick a number between 1 and 20) + * GCE_ZONE : GCE Region to use (Multiple regions are not supported now). Choose between: + - 'us-central1-a' and 'us-central1-b' (with Sandy bridge processors) + - 'europe-west1-a' and 'europe-west1-b' (with Sandy bridge processors) + - 'asia-east1-a' and 'asia-east1-b' (with Ivy bridge processors) -Swift does not need to know anything about the language an application is written in. The application -can be written in Perl, Python, Java, Fortran, or any other language. +NOTE: Read more about Compute-engine zones https://developers.google.com/compute/docs/zones[here] -To run the script and view the output: ------ -$ cd ../part02 -$ swift p2.swift -$ ls output -sim_0.out sim_1.out sim_2.out sim_3.out sim_4.out sim_5.out sim_6.out sim_7.out sim_8.out sim_9.out -$ more output/* -:::::::::::::: -output/sim_0.out -:::::::::::::: - 44 -:::::::::::::: -output/sim_1.out -:::::::::::::: - 55 -... -:::::::::::::: -output/sim_9.out -:::::::::::::: - 82 ------ +NOTE: GCE_WORKER_COUNT directly affects the cost. If you require more than 22 nodes including the +headnode, file a request to increase your resource quotas. -Part 3: Analyzing results of a parallel ensemble -~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ +WARNING: Do *NOT* change the images for the worker and headnode to point at images which have not +been explicitly setup with swift. -After all the parallel simulations in an ensemble run have completed, -its typically necessary to gather and analyze their results with some -kind of post-processing analysis program or script. p3.swift -introduces such a postprocessing step. In this case, the files created -by all of the parallel runs of `simulation.sh` will be averaged by by -the trivial "analysis application" `stats.sh`: -image::part03.png[align="center"] -.p3.swift ----- -sys::[cat ../part03/p3.swift] ----- +Start your cloud setup! +^^^^^^^^^^^^^^^^^^^^^^^ -To run: ----- -$ cd part03 -$ swift p3.swift ----- +Once you finish editing the configs file with your preferences, start the cloud instances +by sourcing the setup script. -Note that in `p3.swift` we expose more of the capabilities of the -`simulate.sh` application to the `simulation()` app function: +The setup script will setup firewall rules, copy over the required images and start a headnode +and the requested number of worker instances. +[source, bash] ----- -app (file o) simulation (int sim_steps, int sim_range, int sim_values) -{ - simulate "--timesteps" sim_steps "--range" sim_range "--nvalues" sim_values stdout=@filename(o); -} +# Must source the setup script. +source setup.sh ----- -`p3.swift` also shows how to fetch application-specific values from -the `swift` command line in a Swift script using `@arg()` which -accepts a keyword-style argument and its default value: +NOTE: The setup script will ask for a passphrase when you run it for the first time. If you +give a passphrase, it will be required when you attempt to connect to the cloud instances. ------ -int nsim = @toInt(@arg("nsim","10")); -int steps = @toInt(@arg("steps","1")); -int range = @toInt(@arg("range","100")); -int values = @toInt(@arg("values","5")); ------ +NOTE: The setup.sh script may not work on shells besides bash. -Now we can specify that more runs should be performed and that each should run for more timesteps, and produce more that one value each, within a specified range, using command line arguments placed after the Swift script name in the form `-parameterName=value`: ------ -$ swift p3.swift -nsim=3 -steps=10 -values=4 -range=1000000 - -Swift 0.94.1 RC2 swift-r6895 cog-r3765 - -RunID: 20130827-1439-s3vvo809 -Progress: time: Tue, 27 Aug 2013 14:39:42 -0500 -Progress: time: Tue, 27 Aug 2013 14:39:53 -0500 Active:2 Stage out:1 -Final status: Tue, 27 Aug 2013 14:39:53 -0500 Finished successfully:4 - -$ ls output/ -average.out sim_0.out sim_1.out sim_2.out -$ more output/* -:::::::::::::: -output/average.out -:::::::::::::: -651368 -:::::::::::::: -output/sim_0.out -:::::::::::::: - 735700 - 886206 - 997391 - 982970 -:::::::::::::: -output/sim_1.out -:::::::::::::: - 260071 - 264195 - 869198 - 933537 -:::::::::::::: -output/sim_2.out -:::::::::::::: - 201806 - 213540 - 527576 - 944233 ------ +Run swift from your local machine +^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ -Now try running (`-nsim=`) 100 simulations of (`-steps=`) 1 second each: +Now, once you've configured and started you cloud resources we can move on to trying the +swift-cloud-tutorial. To run the cloud tutorial from your local machine : +[source,bash] ----- -$ swift p3.swift -nsim=100 -steps=1 -Swift 0.94.1 RC2 swift-r6895 cog-r3765 - -RunID: 20130827-1444-rq809ts6 -Progress: time: Tue, 27 Aug 2013 14:44:55 -0500 -Progress: time: Tue, 27 Aug 2013 14:44:56 -0500 Selecting site:79 Active:20 Stage out:1 -Progress: time: Tue, 27 Aug 2013 14:44:58 -0500 Selecting site:58 Active:20 Stage out:1 Finished successfully:21 -Progress: time: Tue, 27 Aug 2013 14:44:59 -0500 Selecting site:37 Active:20 Stage out:1 Finished successfully:42 -Progress: time: Tue, 27 Aug 2013 14:45:00 -0500 Selecting site:16 Active:20 Stage out:1 Finished successfully:63 -Progress: time: Tue, 27 Aug 2013 14:45:02 -0500 Active:15 Stage out:1 Finished successfully:84 -Progress: time: Tue, 27 Aug 2013 14:45:03 -0500 Finished successfully:101 -Final status: Tue, 27 Aug 2013 14:45:03 -0500 Finished successfully:101 +cd swift-on-cloud/swift-cloud-tutorial +source setup.sh ----- -We can see from Swift's "progress" status that the tutorial's default -`sites.xml` parameters for local execution allow Swift to run up to 20 -application invocations concurrently on the login node. We'll look at -this in more detail in the next sections where we execute applications -on the site's compute nodes. +NOTE: You must source the setup.sh script. -Running applications on compute nodes with Swift ------------------------------------------------- +Run the tutorial on the cloud +^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ -Part 4: Running a parallel ensemble on compute nodes -~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ +Once your cloud resources have been configured and setup, you can run the swift-cloud-tutorial +directly from the cloud. The cloud resources created include a headnode, to which you would +connect to, and the several nodes in worker roles which would do computations in parallel. -`p4.swift` will run our mock "simulation" -applications on compute nodes. The script is similar to as -`p3.swift`, but specifies that each simulation app invocation should -additionally return the log file which the application writes to -`stderr`. +To run the tutorial, first connect to the headnode: -//// - -FIXME: need to revise this figure: drop prog: - -, making the parallel portion of the script behave like this: - -image::part04.png[align="center"] - -.p4.swift ----- -sys::[cat ../part04/p4.swift] ----- -//// - -Now when you run `swift p4.swift` you'll see that two types output -files will placed in the `output/` directory: `sim_N.out` and -`sim_N.log`. The log files provide data on the runtime environment of -each app invocation. For example: +[source, bash] ----- -$ cat output/sim_0.log - -Called as: simulate.sh: --timesteps 1 --range 100 --nvalues 5 - -Start time: Tue Oct 22 14:54:11 CDT 2013 -Running as user: uid=5116(davidk) gid=311(collab) groups=311(collab),104(fuse),1349(swift),45053(swat) -Running on node: stomp -Node IP address: 140.221.9.237 - -Simulation parameters: - -bias=0 -biasfile=none -initseed=none -log=yes -paramfile=none -range=100 -scale=1 -seedfile=none -timesteps=1 -output width=8 - -Environment: - -EDITOR=vim -HOME=/homes/davidk -JAVA_HOME=/nfs/proj-davidk/jdk1.7.0_01 -LANG=C -.... +# Connect to the Headnode +connect headnode +# This will have you logged in to the headnode on the cloud ----- -///// -To tell Swift to run the apps on compute nodes, we specify in the -`apps` file that the apps should be executed on the `cloud` site -(instead of the `localhost` site). We can specify the location of -each app in the third field of the `apps` file, with either an -absolute pathname or the name of an executable to be located in -`PATH`). Here we use the latter form: - ------ -$ cat apps -cloud simulate simulate.sh -cloud stats stats.sh ------ -You can experiment, for example, with an alternate version of stats.sh by specfying that app's location explicitly: +Miscellanious operations supported: +^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ +[source, bash] ----- -$ cat apps -cloud simulate simulate.sh -cloud stats /home/users/p01532/bin/my-alt-stats.sh +# Connect to the Headnode +connect headnode ----- -We can see that when we run many apps requesting a larger set of nodes (6), we are indeed running on the compute nodes: +To see resources use : +[source, bash] ----- -$ swift p4.swift -nsim=1000 -steps=1 -Swift 0.94.1 RC2 swift-r6895 cog-r3765 - -RunID: 20130827-1638-t23ax37a -Progress: time: Tue, 27 Aug 2013 16:38:11 -0500 -Progress: time: Tue, 27 Aug 2013 16:38:12 -0500 Initializing:966 -Progress: time: Tue, 27 Aug 2013 16:38:13 -0500 Selecting site:499 Submitting:500 Submitted:1 -Progress: time: Tue, 27 Aug 2013 16:38:14 -0500 Selecting site:499 Stage in:1 Submitted:500 -Progress: time: Tue, 27 Aug 2013 16:38:16 -0500 Selecting site:499 Submitted:405 Active:95 Stage out:1 -Progress: time: Tue, 27 Aug 2013 16:38:17 -0500 Selecting site:430 Submitted:434 Active:66 Stage out:1 Finished successfully:69 -Progress: time: Tue, 27 Aug 2013 16:38:18 -0500 Selecting site:388 Submitted:405 Active:95 Stage out:1 Finished successfully:111 -... -Progress: time: Tue, 27 Aug 2013 16:38:30 -0500 Stage in:1 Submitted:93 Active:94 Finished successfully:812 -Progress: time: Tue, 27 Aug 2013 16:38:31 -0500 Submitted:55 Active:95 Stage out:1 Finished successfully:849 -Progress: time: Tue, 27 Aug 2013 16:38:32 -0500 Active:78 Stage out:1 Finished successfully:921 -Progress: time: Tue, 27 Aug 2013 16:38:34 -0500 Active:70 Stage out:1 Finished successfully:929 -Progress: time: Tue, 27 Aug 2013 16:38:37 -0500 Stage in:1 Finished successfully:1000 -Progress: time: Tue, 27 Aug 2013 16:38:38 -0500 Stage out:1 Finished successfully:1000 -Final status: Tue, 27 Aug 2013 16:38:38 -0500 Finished successfully:1001 - -$ grep "on node:" output/*log | head -output/sim_0.log:Running on node: nid00063 -output/sim_100.log:Running on node: nid00060 -output/sim_101.log:Running on node: nid00061 -output/sim_102.log:Running on node: nid00032 -output/sim_103.log:Running on node: nid00060 -output/sim_104.log:Running on node: nid00061 -output/sim_105.log:Running on node: nid00032 -output/sim_106.log:Running on node: nid00060 -output/sim_107.log:Running on node: nid00061 -output/sim_108.log:Running on node: nid00062 - -$ grep "on node:" output/*log | awk '{print $4}' | sort | uniq -c - 158 nid00032 - 156 nid00033 - 171 nid00060 - 178 nid00061 - 166 nid00062 - 171 nid00063 -$ hostname -raven -$ hostname -f -nid00008 +list_resources ----- -///// -Performing larger Swift runs -~~~~~~~~~~~~~~~~~~~~~~~~~~~~ - -To test with larger runs, there are two changes that are required. The first is a -change to the command line arguments. The example below will run 1000 simulations -with each simulation taking 5 seconds. +To ssh to any resource listed : +[source, bash] ----- -$ swift p6.swift -steps=5 -nsim=1000 +# Specify the resource name as listed by list_resources here +# If resource_name is omitted, connect will try to connect to the +# headnode +connect ----- -Part 5: Controlling the compute-node pools where applications run -~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ - -This section is under development. - -Part 6: Specifying more complex workflow patterns -~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ - -p6.swift expands the workflow pattern of p4.swift to add additional -stages to the workflow. Here, we generate a dynamic seed value that -will be used by all of the simulations, and for each simulation, we -run an pre-processing application to generate a unique "bias -file". This pattern is shown below, followed by the Swift script. - -image::part06.png[align="center"] - -.p6.swift ----- -sys::[cat ../part06/p6.swift] ----- - -Note that the workflow is based on data flow dependencies: each simulation depends on the seed value, calculated in this statement: ------ -seedfile = genseed(1); ------ -and on the bias file, computed and then consumed in these two dependent statements: +To stop all resources use from your local machine. Please wait for a couple of minutes +for the command to finish. Confirm that all resources have been removed using +list_resources. : +[source, bash] ----- - biasfile = genbias(1000, 20, simulate_script); - (simout,simlog) = simulation(steps, range, biasfile, 1000000, values, simulate_script, seedfile); +# This will delete the headnode as well as all workers. +# This command will take a few minutes to execute +dissolve +# Use list_resources to check if any resources still linger +list_resource ----- -To run: ----- -$ cd ../part06 -$ swift p6.swift ----- - -The default parameters result in the following execution log: - ------ -$ swift p6.swift -Swift 0.94.1 RC2 swift-r6895 cog-r3765 - -RunID: 20130827-1917-jvs4gqm5 -Progress: time: Tue, 27 Aug 2013 19:17:56 -0500 - -*** Script parameters: nsim=10 range=100 num values=10 - -Progress: time: Tue, 27 Aug 2013 19:17:57 -0500 Stage in:1 Submitted:10 -Generated seed=382537 -Progress: time: Tue, 27 Aug 2013 19:17:59 -0500 Active:9 Stage out:1 Finished successfully:11 -Final status: Tue, 27 Aug 2013 19:18:00 -0500 Finished successfully:22 ------ -which produces the following output: ------ -$ ls -lrt output -total 264 --rw-r--r-- 1 p01532 61532 9 Aug 27 19:17 seed.dat --rw-r--r-- 1 p01532 61532 180 Aug 27 19:17 bias_9.dat --rw-r--r-- 1 p01532 61532 180 Aug 27 19:17 bias_8.dat --rw-r--r-- 1 p01532 61532 180 Aug 27 19:17 bias_7.dat --rw-r--r-- 1 p01532 61532 180 Aug 27 19:17 bias_6.dat --rw-r--r-- 1 p01532 61532 180 Aug 27 19:17 bias_5.dat --rw-r--r-- 1 p01532 61532 180 Aug 27 19:17 bias_4.dat --rw-r--r-- 1 p01532 61532 180 Aug 27 19:17 bias_3.dat --rw-r--r-- 1 p01532 61532 180 Aug 27 19:17 bias_2.dat --rw-r--r-- 1 p01532 61532 180 Aug 27 19:17 bias_1.dat --rw-r--r-- 1 p01532 61532 180 Aug 27 19:17 bias_0.dat --rw-r--r-- 1 p01532 61532 90 Aug 27 19:17 sim_9.out --rw-r--r-- 1 p01532 61532 14897 Aug 27 19:17 sim_9.log --rw-r--r-- 1 p01532 61532 14897 Aug 27 19:17 sim_8.log --rw-r--r-- 1 p01532 61532 90 Aug 27 19:17 sim_7.out --rw-r--r-- 1 p01532 61532 90 Aug 27 19:17 sim_6.out --rw-r--r-- 1 p01532 61532 14897 Aug 27 19:17 sim_6.log --rw-r--r-- 1 p01532 61532 90 Aug 27 19:17 sim_5.out --rw-r--r-- 1 p01532 61532 14897 Aug 27 19:17 sim_5.log --rw-r--r-- 1 p01532 61532 90 Aug 27 19:17 sim_4.out --rw-r--r-- 1 p01532 61532 14897 Aug 27 19:17 sim_4.log --rw-r--r-- 1 p01532 61532 14897 Aug 27 19:17 sim_1.log --rw-r--r-- 1 p01532 61532 90 Aug 27 19:18 sim_8.out --rw-r--r-- 1 p01532 61532 14897 Aug 27 19:18 sim_7.log --rw-r--r-- 1 p01532 61532 90 Aug 27 19:18 sim_3.out --rw-r--r-- 1 p01532 61532 14897 Aug 27 19:18 sim_3.log --rw-r--r-- 1 p01532 61532 90 Aug 27 19:18 sim_2.out --rw-r--r-- 1 p01532 61532 14898 Aug 27 19:18 sim_2.log --rw-r--r-- 1 p01532 61532 90 Aug 27 19:18 sim_1.out --rw-r--r-- 1 p01532 61532 90 Aug 27 19:18 sim_0.out --rw-r--r-- 1 p01532 61532 14897 Aug 27 19:18 sim_0.log --rw-r--r-- 1 p01532 61532 9 Aug 27 19:18 average.out --rw-r--r-- 1 p01532 61532 14675 Aug 27 19:18 average.log +To add more worker nodes use: +[source, bash] ----- +# The number of nodes you can create is limited by the quota's set by google. +# To increase quotas contact google using the change request form available +# under Your project / Compute engine / Quotas tab in developer console +start_n_more -Each sim_N.out file is the sum of its bias file plus newly "simulated" random output scaled by 1,000,000: - ------ -$ cat output/bias_0.dat - 302 - 489 - 81 - 582 - 664 - 290 - 839 - 258 - 506 - 310 - 293 - 508 - 88 - 261 - 453 - 187 - 26 - 198 - 402 - 555 - -$ cat output/sim_0.out -64000302 -38000489 -32000081 -12000582 -46000664 -36000290 -35000839 -22000258 -49000506 -75000310 +# Alternatively update the configs with the total number of nodes you require +# and rerun the setup script +source setup.sh ----- -We produce 20 values in each bias file. Simulations of less than that -number of values ignore the unneeded number, while simualtions of more -than 20 will use the last bias number for all remoaining values past -20. As an exercise, adjust the code to produce the same number of -bias values as is needed for each simulation. As a further exercise, -modify the script to generate a unique seed value for each simulation, -which is a common practice in ensemble computations. - -Tips for Specific Resources ---------------------------- - -Open Science Data Cloud -~~~~~~~~~~~~~~~~~~~~~~~ -1. When you start instances on OSDC, use the standard Ubuntu image. -2. Ensure that your SSH key is added to the instance for password login. -3. Swift should run on the OSDC headnode. -4. You can use the following command within coaster-service.conf to automatically -populate WORKER_HOSTS with the IP addresses of all active instances you have running. - ------ -export WORKER_HOSTS=$( nova list | grep ACTIVE | sed -e 's/^.*private=//' -e 's/ .*//' |sed ':a;N;$!ba;s/\n/ /g' ) ------ +Note: Creating an Image https://developers.google.com/compute/docs/images#creatingimage[Link] From 9c512d9dfdcad22df98d6bd2f48aa2ad5365e634 Mon Sep 17 00:00:00 2001 From: Yangxinye Yang Date: Tue, 24 Jun 2014 15:30:25 -0500 Subject: [PATCH 02/34] A saner readme --- README.asc | 174 ++++++++++++++++++++++++++++++++++++++++++++++++++++- 1 file changed, 173 insertions(+), 1 deletion(-) mode change 120000 => 100644 README.asc diff --git a/README.asc b/README.asc deleted file mode 120000 index 3b6026a..0000000 --- a/README.asc +++ /dev/null @@ -1 +0,0 @@ -swift-cloud-tutorial/README.asc \ No newline at end of file diff --git a/README.asc b/README.asc new file mode 100644 index 0000000..fa584c7 --- /dev/null +++ b/README.asc @@ -0,0 +1,173 @@ +Swift cloud on Google Compute Engine +------------------------------------ + +Sign up online +^^^^^^^^^^^^^^ + +1. Go to Google's compute engine https://console.developers.google.com/?getstarted=https://cloud.google.com[page] +2. Create a new project and fill in the project and project id. +3. Select the project and then select compute engine from the left panel. +4. Enter billing information. + +NOTE: You should sign into your google account. Once the billing info is set, you might need + to wait a few minutes. Please note the project-name and project-id in the config file in + the swift-on-cloud/compute-engine folder. + +Setup local-machine +^^^^^^^^^^^^^^^^^^^ + +On your local-machine setup Google's cloud SDK based on the document here: +[source,bash] +---- +curl https://dl.google.com/dl/cloudsdk/release/install_google_cloud_sdk.bash | bash +# Restart bash session for the changes to kick in. +---- + +Authenticate via browser, by clicking the link and pasting the response to the commandline +[source,bash] +----- +gcloud auth login +----- + +Get the swift-on-cloud repository from git +[source,bash] +----- +git clone git@github.com:yadudoc/swift-on-cloud.git +cd swift-on-cloud/compute-engine +----- + + + +Manage you Cloud resources +^^^^^^^^^^^^^^^^^^^^^^^^^^ + +Update the file *swift-on-cloud/compute-engine/configs* in the cloned repository from the previous step, +with the following information: + + * GCE_PROJECT : Name of project selected during the compute-engine sign up. + * GCE_PROJECTID : This is the unique ID for your project selected during compute-engine sign up. + * WORKER_MACHINE_TYPE, HEADNODE_MACHINE_TYPE: VM types for workers and headnode, choose between: + - 'f1-micro' + - 'g1-small' + - 'n1-standard-<1,2,4,8>' + - 'n1--<2,4,8>' + * GCE_WORKER_COUNT : Number of workers to start at setup (pick a number between 1 and 20) + * GCE_ZONE : GCE Region to use (Multiple regions are not supported now). Choose between: + - 'us-central1-a' and 'us-central1-b' (with Sandy bridge processors) + - 'europe-west1-a' and 'europe-west1-b' (with Sandy bridge processors) + - 'asia-east1-a' and 'asia-east1-b' (with Ivy bridge processors) + +NOTE: Read more about Compute-engine zones https://developers.google.com/compute/docs/zones[here] + +NOTE: GCE_WORKER_COUNT directly affects the cost. If you require more than 22 nodes including the +headnode, file a request to increase your resource quotas. + +WARNING: Do *NOT* change the images for the worker and headnode to point at images which have not +been explicitly setup with swift. + + + +Start your cloud setup! +^^^^^^^^^^^^^^^^^^^^^^^ + +Once you finish editing the configs file with your preferences, start the cloud instances +by sourcing the setup script. + +The setup script will setup firewall rules, copy over the required images and start a headnode +and the requested number of worker instances. + +[source, bash] +----- +# Must source the setup script. +source setup.sh +----- + +NOTE: The setup script will ask for a passphrase when you run it for the first time. If you +give a passphrase, it will be required when you attempt to connect to the cloud instances. + +NOTE: The setup.sh script may not work on shells besides bash. + + +Run swift from your local machine +^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ + +Now, once you've configured and started you cloud resources we can move on to trying the +swift-cloud-tutorial. To run the cloud tutorial from your local machine : + +[source,bash] +----- +cd swift-on-cloud/swift-cloud-tutorial +source setup.sh +----- + +NOTE: You must source the setup.sh script. + + +Run the tutorial on the cloud +^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ + +Once your cloud resources have been configured and setup, you can run the swift-cloud-tutorial +directly from the cloud. The cloud resources created include a headnode, to which you would +connect to, and the several nodes in worker roles which would do computations in parallel. + +To run the tutorial, first connect to the headnode: + + +[source, bash] +----- +# Connect to the Headnode +connect headnode +# This will have you logged in to the headnode on the cloud +----- + + +Miscellanious operations supported: +^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ + +[source, bash] +----- +# Connect to the Headnode +connect headnode +----- + +To see resources use : +[source, bash] +----- +list_resources +----- + +To ssh to any resource listed : +[source, bash] +----- +# Specify the resource name as listed by list_resources here +# If resource_name is omitted, connect will try to connect to the +# headnode +connect +----- + +To stop all resources use from your local machine. Please wait for a couple of minutes +for the command to finish. Confirm that all resources have been removed using +list_resources. : +[source, bash] +----- +# This will delete the headnode as well as all workers. +# This command will take a few minutes to execute +dissolve +# Use list_resources to check if any resources still linger +list_resource +----- + +To add more worker nodes use: +[source, bash] +----- +# The number of nodes you can create is limited by the quota's set by google. +# To increase quotas contact google using the change request form available +# under Your project / Compute engine / Quotas tab in developer console +start_n_more + +# Alternatively update the configs with the total number of nodes you require +# and rerun the setup script +source setup.sh +----- + +Note: Creating an Image https://developers.google.com/compute/docs/images#creatingimage[Link] From f9c02041d7f25487bf641b5582e2bde887ca0b05 Mon Sep 17 00:00:00 2001 From: Yangxinye Yang Date: Thu, 26 Jun 2014 11:47:28 -0500 Subject: [PATCH 03/34] changes to properties --- swift-cloud-tutorial/part04/swift.properties | 30 ++++++++++++++++++-- swift-cloud-tutorial/part05/swift.properties | 2 +- swift-cloud-tutorial/part06/swift.properties | 2 +- 3 files changed, 30 insertions(+), 4 deletions(-) diff --git a/swift-cloud-tutorial/part04/swift.properties b/swift-cloud-tutorial/part04/swift.properties index 2a55d8f..e1c70ef 100644 --- a/swift-cloud-tutorial/part04/swift.properties +++ b/swift-cloud-tutorial/part04/swift.properties @@ -13,9 +13,35 @@ site.cloud { taskWalltime=04:00:00 initialScore=10000 filesystem=local - jobmanager=coaster-persistent:local:local:http://localhost:50010 + jobmanager=coaster-persistent:local:local:http://130.211.176.225:50010 workerManager=passive taskThrottle=800 - workdir=/home/yadu/work + workdir=/home/sophiayang/work } +site.midway-westmere { + jobManager=midway.rcc.uchicago.edu:slurm + jobQueue=westmere + tasksPerWorker=12 + initialScore=10000 + filesystem=local + jobproject=pi-wilde + workdir=/scratch/midway/sophiayang/work +} + +site.beagle { + jobManager=login4.beagle.ci.uchicago.edu:pbs + jobQueue=batch + tasksPerWorker=24 + providerAttributes=pbs.aprun;pbs.mpp;depth=24 + initialScore=10000 + filesystem=local + # jobproject=CI-CCR000013 + jobWalltime=00:10:00 + taskWalltime=00:02:00 + userHomeOverride=/lustre/beagle/sophiayang + workDir=/lustre/beagle/sophiayang +} + +#app.local.stats=$PWD/stats.sh +#app.midway.bash=/bin/bash diff --git a/swift-cloud-tutorial/part05/swift.properties b/swift-cloud-tutorial/part05/swift.properties index 2a55d8f..a897aec 100644 --- a/swift-cloud-tutorial/part05/swift.properties +++ b/swift-cloud-tutorial/part05/swift.properties @@ -13,7 +13,7 @@ site.cloud { taskWalltime=04:00:00 initialScore=10000 filesystem=local - jobmanager=coaster-persistent:local:local:http://localhost:50010 + jobmanager=coaster-persistent:local:local:http://130.211.176.225:50010 workerManager=passive taskThrottle=800 workdir=/home/yadu/work diff --git a/swift-cloud-tutorial/part06/swift.properties b/swift-cloud-tutorial/part06/swift.properties index 2a55d8f..a897aec 100644 --- a/swift-cloud-tutorial/part06/swift.properties +++ b/swift-cloud-tutorial/part06/swift.properties @@ -13,7 +13,7 @@ site.cloud { taskWalltime=04:00:00 initialScore=10000 filesystem=local - jobmanager=coaster-persistent:local:local:http://localhost:50010 + jobmanager=coaster-persistent:local:local:http://130.211.176.225:50010 workerManager=passive taskThrottle=800 workdir=/home/yadu/work From 2503281f922d03f9c99b9d4409713cce86bce887 Mon Sep 17 00:00:00 2001 From: Yangxinye Yang Date: Thu, 26 Jun 2014 14:44:21 -0500 Subject: [PATCH 04/34] changes to properties --- swift-cloud-tutorial/part04/swift.properties | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/swift-cloud-tutorial/part04/swift.properties b/swift-cloud-tutorial/part04/swift.properties index e1c70ef..fcc335c 100644 --- a/swift-cloud-tutorial/part04/swift.properties +++ b/swift-cloud-tutorial/part04/swift.properties @@ -19,7 +19,7 @@ site.cloud { workdir=/home/sophiayang/work } -site.midway-westmere { +site.midway-remote { jobManager=midway.rcc.uchicago.edu:slurm jobQueue=westmere tasksPerWorker=12 From 305d034c273a135fc5e5fa2a28215304a9cbd766 Mon Sep 17 00:00:00 2001 From: Yangxinye Yang Date: Thu, 26 Jun 2014 15:30:33 -0500 Subject: [PATCH 05/34] add midway local --- swift-cloud-tutorial/part04/swift.properties | 10 ++++++++++ swift-cloud-tutorial/setup.sh | 3 ++- 2 files changed, 12 insertions(+), 1 deletion(-) diff --git a/swift-cloud-tutorial/part04/swift.properties b/swift-cloud-tutorial/part04/swift.properties index fcc335c..17ac9ca 100644 --- a/swift-cloud-tutorial/part04/swift.properties +++ b/swift-cloud-tutorial/part04/swift.properties @@ -19,6 +19,16 @@ site.cloud { workdir=/home/sophiayang/work } +site.midway-local { + jobManager=slurm + jobQueue=westmere + tasksPerWorker=4 + initialScore=10000 + filesystem=local + jobproject=pi-wilde + workdir=/scratch/midway/sophiayang/work +} + site.midway-remote { jobManager=midway.rcc.uchicago.edu:slurm jobQueue=westmere diff --git a/swift-cloud-tutorial/setup.sh b/swift-cloud-tutorial/setup.sh index 503e5f7..c41ea7e 100644 --- a/swift-cloud-tutorial/setup.sh +++ b/swift-cloud-tutorial/setup.sh @@ -22,7 +22,8 @@ then else # Running on local machine for p in 04 05 06 do - cp ../compute-engine/swift.properties part${p}/swift.properties + echo "hi" + #cp ../compute-engine/swift.properties part${p}/swift.properties done fi From 045e89924b3c3d781f2ba81d1ff33264c022e7aa Mon Sep 17 00:00:00 2001 From: Yangxinye Yang Date: Thu, 26 Jun 2014 15:34:28 -0500 Subject: [PATCH 06/34] change beagle to remote --- swift-cloud-tutorial/part04/swift.properties | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/swift-cloud-tutorial/part04/swift.properties b/swift-cloud-tutorial/part04/swift.properties index 17ac9ca..f8afea2 100644 --- a/swift-cloud-tutorial/part04/swift.properties +++ b/swift-cloud-tutorial/part04/swift.properties @@ -39,7 +39,7 @@ site.midway-remote { workdir=/scratch/midway/sophiayang/work } -site.beagle { +site.beagle-remote { jobManager=login4.beagle.ci.uchicago.edu:pbs jobQueue=batch tasksPerWorker=24 From 5f175389ebbe5714eb2f3448a317ad7ce90c8ca8 Mon Sep 17 00:00:00 2001 From: Yangxinye Yang Date: Tue, 1 Jul 2014 16:25:50 -0500 Subject: [PATCH 07/34] adding doc --- swift-cloud-tutorial/part04/swift.properties | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/swift-cloud-tutorial/part04/swift.properties b/swift-cloud-tutorial/part04/swift.properties index f8afea2..7f64a95 100644 --- a/swift-cloud-tutorial/part04/swift.properties +++ b/swift-cloud-tutorial/part04/swift.properties @@ -19,7 +19,7 @@ site.cloud { workdir=/home/sophiayang/work } -site.midway-local { +site.midway-compute { jobManager=slurm jobQueue=westmere tasksPerWorker=4 From 430691f8679e9edbb5a34ae7afdcd110c078334e Mon Sep 17 00:00:00 2001 From: Yangxinye Yang Date: Tue, 1 Jul 2014 16:28:48 -0500 Subject: [PATCH 08/34] adding doc --- .../doc/documentation-working | 615 ++++++++++++++++++ 1 file changed, 615 insertions(+) create mode 100644 swift-cloud-tutorial/doc/documentation-working diff --git a/swift-cloud-tutorial/doc/documentation-working b/swift-cloud-tutorial/doc/documentation-working new file mode 100644 index 0000000..56ee00d --- /dev/null +++ b/swift-cloud-tutorial/doc/documentation-working @@ -0,0 +1,615 @@ +Swift Tutorial for running on localhost +======================================= + +This tutorial is viewable at: +http://swift-lang.org/tutorials/localhost/tutorial.html + + +Introduction: Why Parallel Scripting? +------------------------------------ + +Swift is a simple scripting language for executing many instances of +ordinary application programs on distributed parallel resources. +Swift scripts run many copies of ordinary programs concurrently, using +statements like this: +----- +foreach protein in proteinList { + runBLAST(protein); +} +----- +Swift acts like a structured "shell" language. It runs programs +concurrently as soon as their inputs are available, reducing the need +for complex parallel programming. Swift expresses your workflow in a +portable fashion: The same script runs on multicore computers, +clusters, clouds, grids, and supercomputers. + +In this tutorial, you’ll be able to first try a few Swift examples on your +local machine (parts 1-4), to get a sense of the language. Then in parts 5-7 +you will run similar workflows on remote resources such as Midway, distributed +OSG Connect resources, Cray, etc., both locally on those machines and on your +own machine by connecting to them remotely. You will thus see how more complex +workflows can be expressed with Swift scripts. + +Swift installation +------------------ +1. Download the file from http://swiftlang.org/packages/swift-0.95-RC6.tar.gz +2. Extract by running "tar xfz swift-0.95-RC6.tar.gz" +3. Add to PATH by running "export PATH=$PATH:/path/to/swift-0.95-RC6/bin" + +Swift tutorial installation +--------------------------- +Run the following commands to extract these tutorial scripts. + +----- +$ cd $HOME +$ wget http://swiftlang.org/tutorials/localhost/swift-localhost-tutorial.tar.gz +$ tar xvfz swift-localhost-tutorial.tar.gz +$ cd swift-localhost-tutorial +----- + +Run the tutorial setup script +----- +$ source setup.sh # You must run this with "source" ! +----- + +To check out the tutorial scripts from SVN +~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ + +If you later want to get the most recent version of this tutorial from +the Swift Subversion repository, do: + +----- +$ svn co https://svn.ci.uchicago.edu/svn/vdl2/SwiftTutorials/swift-localhost-tutorial +----- + +This will create a directory called "swift-localhost-tutorial" which contains all of the +files used in this tutorial. + + +Simple "science applications" for the workflow tutorial +------------------------------------------------------- + +This tutorial is based on two intentionally trivial example programs, +`simulation.sh` and `stats.sh`, (implemented as bash shell scripts) +that serve as easy-to-understand proxies for real science +applications. These "programs" behave as follows. + +simulate.sh +~~~~~~~~~~~ + +The simulation.sh script serves as a trivial proxy for any more +complex scientific simulation application. It generates and prints a +set of one or more random integers in the range [0-2^62) as controlled +by its command line arguments, which are: + +----- +$ ./app/simulate.sh --help +./app/simulate.sh: usage: + -b|--bias offset bias: add this integer to all results [0] + -B|--biasfile file of integer biases to add to results [none] + -l|--log generate a log in stderr if not null [y] + -n|--nvalues print this many values per simulation [1] + -r|--range range (limit) of generated results [100] + -s|--seed use this integer [0..32767] as a seed [none] + -S|--seedfile use this file (containing integer seeds [0..32767]) one per line [none] + -t|--timesteps number of simulated "timesteps" in seconds (determines runtime) [1] + -x|--scale scale the results by this integer [1] + -h|-?|?|--help print this help +$ +----- + +All of thess arguments are optional, with default values indicated above as `[n]`. + +//// +.simulation.sh arguments +[width="80%",cols="^2,10",options="header"] + +|======================= +|Argument|Short|Description +|1 |runtime: sets run time of simulation.sh in seconds +|2 |range: limits generated values to the range [0,range-1] +|3 |biasfile: add the integer contained in this file to each value generated +|4 |scale: multiplies each generated value by this integer +|5 |count: number of values to generate in the simulation +|======================= +//// + +With no arguments, simulate.sh prints 1 number in the range of +1-100. Otherwise it generates n numbers of the form (R*scale)+bias +where R is a random integer. By default it logs information about its +execution environment to stderr. Here's some examples of its usage: + +----- +$ simulate.sh 2>log + 5 +$ head -4 log + +Called as: /home/wilde/swift/tut/CIC_2013-08-09/app/simulate.sh: +Start time: Thu Aug 22 12:40:24 CDT 2013 +Running on node: login01.osgconnect.net + +$ simulate.sh -n 4 -r 1000000 2>log + 239454 + 386702 + 13849 + 873526 + +$ simulate.sh -n 3 -r 1000000 -x 100 2>log + 6643700 +62182300 + 5230600 + +$ simulate.sh -n 2 -r 1000 -x 1000 2>log + 565000 + 636000 + +$ time simulate.sh -n 2 -r 1000 -x 1000 -t 3 2>log + 336000 + 320000 +real 0m3.012s +user 0m0.005s +sys 0m0.006s +----- + +stats.sh +~~~~~~~~ + +The stats.sh script serves as a trivial model of an "analysis" +program. It reads N files each containing M integers and simply prints +the\ average of all those numbers to stdout. Similarly to simulate.sh +it logs environmental information to the stderr. + +----- +$ ls f* +f1 f2 f3 f4 + +$ cat f* +25 +60 +40 +75 + +$ stats.sh f* 2>log +50 +----- + + +Basics of the Swift language with local execution +------------------------------------------------- + +A Summary of Swift in a nutshell +~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ + +* Swift scripts are text files ending in `.swift` The `swift` command +runs on any host, and executes these scripts. `swift` is a Java +application, which you can install almost anywhere. On Linux, just +unpack the distribution `tar` file and add its `bin/` directory to +your `PATH`. + +* Swift scripts run ordinary applications, just like shell scripts +do. Swift makes it easy to run these applications on parallel and +remote computers (from laptops to supercomputers). If you can `ssh` to +the system, Swift can likely run applications there. + +* The details of where to run applications and how to get files back +and forth are described in configuration files separate from your +program. Swift speaks ssh, PBS, Condor, SLURM, LSF, SGE, Cobalt, and +Globus to run applications, and scp, http, ftp, and GridFTP to move +data. + +* The Swift language has 5 main data types: `boolean`, `int`, +`string`, `float`, and `file`. Collections of these are dynamic, +sparse arrays of arbitrary dimension and structures of scalars and/or +arrays defined by the `type` declaration. + +* Swift file variables are "mapped" to external files. Swift sends +files to and from remote systems for you automatically. + +* Swift variables are "single assignment": once you set them you can't +change them (in a given block of code). This makes Swift a natural, +"parallel data flow" language. This programming model keeps your +workflow scripts simple and easy to write and understand. + +* Swift lets you define functions to "wrap" application programs, and +to cleanly structure more complex scripts. Swift `app` functions take +files and parameters as inputs and return files as outputs. + +* A compact set of built-in functions for string and file +manipulation, type conversions, high level IO, etc. is provided. +Swift's equivalent of `printf()` is `tracef()`, with limited and +slightly different format codes. + +* Swift's `foreach {}` statement is the main parallel workhorse of the +language, and executes all iterations of the loop concurrently. The +actual number of parallel tasks executed is based on available +resources and settable "throttles". + +* In fact, Swift conceptually executes *all* the statements, +expressions and function calls in your program in parallel, based on +data flow. These are similarly throttled based on available resources +and settings. + +* Swift also has `if` and `switch` statements for conditional +execution. These are seldom needed in simple workflows but they enable +very dynamic workflow patterns to be specified. + +We'll see many of these points in action in the examples below. Lets +get started! + +Part 1: Run a single application under Swift +~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ + +The first swift script, p1.swift, runs simulate.sh to generate a +single random number. It writes the number to a file. + +image::part01.png["p1 workflow",align="center"] + +.p1.swift +----- +sys::[cat ../part01/p1.swift] +----- + + +To run this script, run the following command: +----- +$ cd part01 +$ swift p1.swift +Swift 0.95 Branch SVN swift-r7903 cog-r3908 +RunID: run001 +Progress: Tue, 03 Jun 2014 15:01:28-0500 +Final status:Tue, 03 Jun 2014 15:01:29-0500 Finished successfully:1 +$ cat sim.out + 84 +$ swift p1.swift +$ cat sim.out + 36 +----- + +To cleanup the directory and remove all outputs (including the log +files and directories that Swift generates), run the cleanup script +which is located in the tutorial PATH: + +----- +$ cleanup +------ + +NOTE: You'll also find a Swift configuration files in each `partNN` +directory of this tutorial. These specify the environment-specific +details of where to find application programs and where to run them . +These files will be explained in more detail in parts 4-6, and can +be ignored for now. + +//// +It defines +things like the work directory, the scheduler to use, and how to +control parallelism. The sites.xml file below will tell Swift to run +on the local machine only, and run just 1 task at a time. + +.swift.properties +----- +sys::[cat ../part01/swift.properties] +----- + + In this case, it +indicates that the app "simulate" (the first token in the command line +declaration of the function `simulation`, at line NNN) is located in the file +simulate.sh and (since the path `simulate.sh` is specified with no +directory components) Swift expects that the `simulate.sh` executable +will be available in your $PATH. + +//// + +Part 2: Running an ensemble of many apps in parallel with a "foreach" loop +~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ + +The `p2.swift` script introduces the `foreach` parallel iteration +construct to run many concurrent simulations. + +image::part02.png[align="center"] + +.p2.swift +----- +sys::[cat ../part02/p2.swift] +----- + +The script also shows an +example of naming the output files of an ensemble run. In this case, the output files will be named +`output/sim_N.out`. + +In part 2, we update the swift.properties file. + +Instead of using shell script (simulate is a link to simulate.sh), we use the equivalent +python version (simulate.py). Swift does not need to know anything about the language an +application is written in. The application can be written in Perl, Python, Java, Fortran, +or any other language. + +The swift.properties file also defines properties that control the parallelism involved +in the swift execution. By setting the tasksPerWorker to the desired number of parallel +application invocations it is possible to take advantage of multiple cores in the +processor. The taskThrottle variable is used to limit number of tasks sent to +workers for execution. Both tasksPerWorker and taskThrottle are set to 2 in the tutorial +and could be set to the number of cores available on your machine. + +----- +sys::[cat ../part02/swift.properties] +----- + + +To run the script and view the output: +----- +$ cd ../part02 +$ swift p2.swift +$ ls output +sim_0.out sim_1.out sim_2.out sim_3.out sim_4.out sim_5.out sim_6.out sim_7.out sim_8.out sim_9.out +$ more output/* +:::::::::::::: +output/sim_0.out +:::::::::::::: + 44 +:::::::::::::: +output/sim_1.out +:::::::::::::: + 55 +... +:::::::::::::: +output/sim_9.out +:::::::::::::: + 82 +----- + +Part 3: Analyzing results of a parallel ensemble +~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ + +After all the parallel simulations in an ensemble run have completed, +its typically necessary to gather and analyze their results with some +kind of post-processing analysis program or script. p3.swift +introduces such a postprocessing step. In this case, the files created +by all of the parallel runs of `simulation.sh` will be averaged by by +the trivial "analysis application" `stats.sh`: + +image::part03.png[align="center"] + +.p3.swift +---- +sys::[cat ../part03/p3.swift] +---- + +To run: +---- +$ cd part03 +$ swift p3.swift +---- + +Note that in `p3.swift` we expose more of the capabilities of the +`simulate.sh` application to the `simulation()` app function: + +----- +app (file o) simulation (int sim_steps, int sim_range, int sim_values) +{ + simulate "--timesteps" sim_steps "--range" sim_range "--nvalues" sim_values stdout=filename(o); +} +----- + +`p3.swift` also shows how to fetch application-specific values from +the `swift` command line in a Swift script using `arg()` which +accepts a keyword-style argument and its default value: + +----- +int nsim = toInt(arg("nsim","10")); +int steps = toInt(arg("steps","1")); +int range = toInt(arg("range","100")); +int values = toInt(arg("values","5")); +----- + +Now we can specify that more runs should be performed and that each should run for more timesteps, and produce more that one value each, within a specified range, using command line arguments placed after the Swift script name in the form `-parameterName=value`: + +----- +$ swift p3.swift -nsim=3 -steps=10 -values=4 -range=1000000 +Swift 0.95 Branch SVN swift-r7903 cog-r3908 +RunID: run001 +Progress: Tue, 03 Jun 2014 17:06:58-0500 +Progress: Tue, 03 Jun 2014 17:06:59-0500 Submitted:2 Active:1 +Progress: Tue, 03 Jun 2014 17:07:00-0500 Submitted:1 Active:2 +Progress: Tue, 03 Jun 2014 17:07:01-0500 Active:3 +Progress: Tue, 03 Jun 2014 17:07:09-0500 Active:2 Finished successfully:1 +Progress: Tue, 03 Jun 2014 17:07:10-0500 Active:1 Finished successfully:2 +Final status:Tue, 03 Jun 2014 17:07:11-0500 Finished successfully:4 + +$ ls output/ +average.out sim_0.out sim_1.out sim_2.out +$ more output/* +:::::::::::::: +output/average.out +:::::::::::::: +651368 +:::::::::::::: +output/sim_0.out +:::::::::::::: + 735700 + 886206 + 997391 + 982970 +:::::::::::::: +output/sim_1.out +:::::::::::::: + 260071 + 264195 + 869198 + 933537 +:::::::::::::: +output/sim_2.out +:::::::::::::: + 201806 + 213540 + 527576 + 944233 +----- + +Now try running (`-nsim=`) 100 simulations of (`-steps=`) 1 second each: + +----- +$ swift p3.swift -nsim=100 -steps=1 +Swift 0.95 Branch SVN swift-r7903 cog-r3908 +RunID: run002 +Progress: Tue, 03 Jun 2014 17:08:05-0500 +Progress: Tue, 03 Jun 2014 17:08:06-0500 Selecting site:79 Submitted:20 Active:1 +Progress: Tue, 03 Jun 2014 17:08:07-0500 Selecting site:78 Submitted:18 Active:3 Finished successfully:1 +Progress: Tue, 03 Jun 2014 17:08:08-0500 Selecting site:75 Submitted:17 Active:4 Finished successfully:4 +Progress: Tue, 03 Jun 2014 17:08:09-0500 Selecting site:71 Submitted:16 Active:5 Finished successfully:8 +Progress: Tue, 03 Jun 2014 17:08:11-0500 Selecting site:66 Submitted:15 Active:6 Finished successfully:13 +Progress: Tue, 03 Jun 2014 17:08:12-0500 Selecting site:60 Submitted:14 Active:7 Finished successfully:19 +Progress: Tue, 03 Jun 2014 17:08:13-0500 Selecting site:53 Submitted:13 Active:8 Finished successfully:26 +Progress: Tue, 03 Jun 2014 17:08:14-0500 Selecting site:45 Submitted:12 Active:9 Finished successfully:34 +Progress: Tue, 03 Jun 2014 17:08:15-0500 Selecting site:36 Submitted:11 Active:10 Finished successfully:43 +Progress: Tue, 03 Jun 2014 17:08:16-0500 Selecting site:26 Submitted:10 Active:11 Finished successfully:53 +Progress: Tue, 03 Jun 2014 17:08:17-0500 Selecting site:15 Active:21 Finished successfully:64 +Progress: Tue, 03 Jun 2014 17:08:18-0500 Active:16 Finished successfully:84 +Progress: Tue, 03 Jun 2014 17:08:19-0500 Active:11 Finished successfully:89 +Final status:Tue, 03 Jun 2014 17:08:19-0500 Finished successfully:101 +----- + +Part 4: Specifying more complex workflow patterns +~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ + +p4.swift expands the workflow pattern of p3.swift to add additional +stages to the workflow. Here, we generate a dynamic seed value that +will be used by all of the simulations, and for each simulation, we +run an pre-processing application to generate a unique "bias +file". This pattern is shown below, followed by the Swift script. + +image::part06.png[align="center"] + +.p4.swift +---- +sys::[cat ../part04/p4.swift] +---- + +Note that the workflow is based on data flow dependencies: each simulation depends on the seed value, calculated in this statement: +----- +seedfile = genseed(1); +----- +and on the bias file, computed and then consumed in these two dependent statements: +----- + biasfile = genbias(1000, 20, simulate_script); + (simout,simlog) = simulation(steps, range, biasfile, 1000000, values, simulate_script, seedfile); +----- + +To run: +---- +$ cd ../part04 +$ swift p4.swift +---- + +The default parameters result in the following execution log: + +----- +$ swift p4.swift +Swift 0.95 Branch SVN swift-r7903 cog-r3908 +RunID: run001 +Progress: Thu, 05 Jun 2014 06:01:36-0500 + +*** Script parameters: nsim=10 range=100 num values=10 + +Progress: Thu, 05 Jun 2014 06:01:37-0500 Submitted:8 Active:2 Finished successfully:11 +Progress: Thu, 05 Jun 2014 06:01:38-0500 Submitted:6 Active:2 Finished successfully:13 +Progress: Thu, 05 Jun 2014 06:01:39-0500 Submitted:4 Active:2 Finished successfully:15 +Progress: Thu, 05 Jun 2014 06:01:40-0500 Submitted:2 Active:2 Finished successfully:17 +Progress: Thu, 05 Jun 2014 06:01:41-0500 Active:2 Finished successfully:19 +Final status:Thu, 05 Jun 2014 06:01:41-0500 Finished successfully:22 +----- + +which produces the following output: +----- +$ ls -lrt output +total 264 +-rw-r--r-- 1 p01532 61532 9 Aug 27 19:17 seed.dat +-rw-r--r-- 1 p01532 61532 180 Aug 27 19:17 bias_9.dat +-rw-r--r-- 1 p01532 61532 180 Aug 27 19:17 bias_8.dat +-rw-r--r-- 1 p01532 61532 180 Aug 27 19:17 bias_7.dat +-rw-r--r-- 1 p01532 61532 180 Aug 27 19:17 bias_6.dat +-rw-r--r-- 1 p01532 61532 180 Aug 27 19:17 bias_5.dat +-rw-r--r-- 1 p01532 61532 180 Aug 27 19:17 bias_4.dat +-rw-r--r-- 1 p01532 61532 180 Aug 27 19:17 bias_3.dat +-rw-r--r-- 1 p01532 61532 180 Aug 27 19:17 bias_2.dat +-rw-r--r-- 1 p01532 61532 180 Aug 27 19:17 bias_1.dat +-rw-r--r-- 1 p01532 61532 180 Aug 27 19:17 bias_0.dat +-rw-r--r-- 1 p01532 61532 90 Aug 27 19:17 sim_9.out +-rw-r--r-- 1 p01532 61532 14897 Aug 27 19:17 sim_9.log +-rw-r--r-- 1 p01532 61532 14897 Aug 27 19:17 sim_8.log +-rw-r--r-- 1 p01532 61532 90 Aug 27 19:17 sim_7.out +-rw-r--r-- 1 p01532 61532 90 Aug 27 19:17 sim_6.out +-rw-r--r-- 1 p01532 61532 14897 Aug 27 19:17 sim_6.log +-rw-r--r-- 1 p01532 61532 90 Aug 27 19:17 sim_5.out +-rw-r--r-- 1 p01532 61532 14897 Aug 27 19:17 sim_5.log +-rw-r--r-- 1 p01532 61532 90 Aug 27 19:17 sim_4.out +-rw-r--r-- 1 p01532 61532 14897 Aug 27 19:17 sim_4.log +-rw-r--r-- 1 p01532 61532 14897 Aug 27 19:17 sim_1.log +-rw-r--r-- 1 p01532 61532 90 Aug 27 19:18 sim_8.out +-rw-r--r-- 1 p01532 61532 14897 Aug 27 19:18 sim_7.log +-rw-r--r-- 1 p01532 61532 90 Aug 27 19:18 sim_3.out +-rw-r--r-- 1 p01532 61532 14897 Aug 27 19:18 sim_3.log +-rw-r--r-- 1 p01532 61532 90 Aug 27 19:18 sim_2.out +-rw-r--r-- 1 p01532 61532 14898 Aug 27 19:18 sim_2.log +-rw-r--r-- 1 p01532 61532 90 Aug 27 19:18 sim_1.out +-rw-r--r-- 1 p01532 61532 90 Aug 27 19:18 sim_0.out +-rw-r--r-- 1 p01532 61532 14897 Aug 27 19:18 sim_0.log +-rw-r--r-- 1 p01532 61532 9 Aug 27 19:18 average.out +-rw-r--r-- 1 p01532 61532 14675 Aug 27 19:18 average.log +----- + +Each sim_N.out file is the sum of its bias file plus newly "simulated" random output scaled by 1,000,000: + +----- +$ cat output/bias_0.dat + 302 + 489 + 81 + 582 + 664 + 290 + 839 + 258 + 506 + 310 + 293 + 508 + 88 + 261 + 453 + 187 + 26 + 198 + 402 + 555 + +$ cat output/sim_0.out +64000302 +38000489 +32000081 +12000582 +46000664 +36000290 +35000839 +22000258 +49000506 +75000310 +----- + +We produce 20 values in each bias file. Simulations of less than that +number of values ignore the unneeded number, while simualtions of more +than 20 will use the last bias number for all remoaining values past +20. As an exercise, adjust the code to produce the same number of +bias values as is needed for each simulation. As a further exercise, +modify the script to generate a unique seed value for each simulation, +which is a common practice in ensemble computations. + +Performing larger Swift runs +~~~~~~~~~~~~~~~~~~~~~~~~~~~~ + +To test with larger runs, provide suitable command line arguments. +The example below will run 1000 simulations with each simulation +taking 5 seconds. + +----- +$ swift p4.swift -steps=5 -nsim=1000 +----- From 2dc0a6aaf2351fb70babf4c7db97fffc99f7cbd1 Mon Sep 17 00:00:00 2001 From: Yangxinye Yang Date: Tue, 1 Jul 2014 16:34:58 -0500 Subject: [PATCH 09/34] changing README --- swift-cloud-tutorial/doc/README | 660 +++++++++++++++--- .../doc/documentation-working | 615 ---------------- 2 files changed, 551 insertions(+), 724 deletions(-) delete mode 100644 swift-cloud-tutorial/doc/documentation-working diff --git a/swift-cloud-tutorial/doc/README b/swift-cloud-tutorial/doc/README index fa584c7..56ee00d 100644 --- a/swift-cloud-tutorial/doc/README +++ b/swift-cloud-tutorial/doc/README @@ -1,173 +1,615 @@ -Swift cloud on Google Compute Engine +Swift Tutorial for running on localhost +======================================= + +This tutorial is viewable at: +http://swift-lang.org/tutorials/localhost/tutorial.html + + +Introduction: Why Parallel Scripting? ------------------------------------ -Sign up online -^^^^^^^^^^^^^^ +Swift is a simple scripting language for executing many instances of +ordinary application programs on distributed parallel resources. +Swift scripts run many copies of ordinary programs concurrently, using +statements like this: +----- +foreach protein in proteinList { + runBLAST(protein); +} +----- +Swift acts like a structured "shell" language. It runs programs +concurrently as soon as their inputs are available, reducing the need +for complex parallel programming. Swift expresses your workflow in a +portable fashion: The same script runs on multicore computers, +clusters, clouds, grids, and supercomputers. + +In this tutorial, you’ll be able to first try a few Swift examples on your +local machine (parts 1-4), to get a sense of the language. Then in parts 5-7 +you will run similar workflows on remote resources such as Midway, distributed +OSG Connect resources, Cray, etc., both locally on those machines and on your +own machine by connecting to them remotely. You will thus see how more complex +workflows can be expressed with Swift scripts. + +Swift installation +------------------ +1. Download the file from http://swiftlang.org/packages/swift-0.95-RC6.tar.gz +2. Extract by running "tar xfz swift-0.95-RC6.tar.gz" +3. Add to PATH by running "export PATH=$PATH:/path/to/swift-0.95-RC6/bin" + +Swift tutorial installation +--------------------------- +Run the following commands to extract these tutorial scripts. -1. Go to Google's compute engine https://console.developers.google.com/?getstarted=https://cloud.google.com[page] -2. Create a new project and fill in the project and project id. -3. Select the project and then select compute engine from the left panel. -4. Enter billing information. +----- +$ cd $HOME +$ wget http://swiftlang.org/tutorials/localhost/swift-localhost-tutorial.tar.gz +$ tar xvfz swift-localhost-tutorial.tar.gz +$ cd swift-localhost-tutorial +----- -NOTE: You should sign into your google account. Once the billing info is set, you might need - to wait a few minutes. Please note the project-name and project-id in the config file in - the swift-on-cloud/compute-engine folder. +Run the tutorial setup script +----- +$ source setup.sh # You must run this with "source" ! +----- -Setup local-machine -^^^^^^^^^^^^^^^^^^^ +To check out the tutorial scripts from SVN +~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ -On your local-machine setup Google's cloud SDK based on the document here: -[source,bash] ----- -curl https://dl.google.com/dl/cloudsdk/release/install_google_cloud_sdk.bash | bash -# Restart bash session for the changes to kick in. ----- +If you later want to get the most recent version of this tutorial from +the Swift Subversion repository, do: + +----- +$ svn co https://svn.ci.uchicago.edu/svn/vdl2/SwiftTutorials/swift-localhost-tutorial +----- + +This will create a directory called "swift-localhost-tutorial" which contains all of the +files used in this tutorial. + + +Simple "science applications" for the workflow tutorial +------------------------------------------------------- + +This tutorial is based on two intentionally trivial example programs, +`simulation.sh` and `stats.sh`, (implemented as bash shell scripts) +that serve as easy-to-understand proxies for real science +applications. These "programs" behave as follows. + +simulate.sh +~~~~~~~~~~~ + +The simulation.sh script serves as a trivial proxy for any more +complex scientific simulation application. It generates and prints a +set of one or more random integers in the range [0-2^62) as controlled +by its command line arguments, which are: + +----- +$ ./app/simulate.sh --help +./app/simulate.sh: usage: + -b|--bias offset bias: add this integer to all results [0] + -B|--biasfile file of integer biases to add to results [none] + -l|--log generate a log in stderr if not null [y] + -n|--nvalues print this many values per simulation [1] + -r|--range range (limit) of generated results [100] + -s|--seed use this integer [0..32767] as a seed [none] + -S|--seedfile use this file (containing integer seeds [0..32767]) one per line [none] + -t|--timesteps number of simulated "timesteps" in seconds (determines runtime) [1] + -x|--scale scale the results by this integer [1] + -h|-?|?|--help print this help +$ +----- + +All of thess arguments are optional, with default values indicated above as `[n]`. + +//// +.simulation.sh arguments +[width="80%",cols="^2,10",options="header"] + +|======================= +|Argument|Short|Description +|1 |runtime: sets run time of simulation.sh in seconds +|2 |range: limits generated values to the range [0,range-1] +|3 |biasfile: add the integer contained in this file to each value generated +|4 |scale: multiplies each generated value by this integer +|5 |count: number of values to generate in the simulation +|======================= +//// + +With no arguments, simulate.sh prints 1 number in the range of +1-100. Otherwise it generates n numbers of the form (R*scale)+bias +where R is a random integer. By default it logs information about its +execution environment to stderr. Here's some examples of its usage: -Authenticate via browser, by clicking the link and pasting the response to the commandline -[source,bash] ----- -gcloud auth login +$ simulate.sh 2>log + 5 +$ head -4 log + +Called as: /home/wilde/swift/tut/CIC_2013-08-09/app/simulate.sh: +Start time: Thu Aug 22 12:40:24 CDT 2013 +Running on node: login01.osgconnect.net + +$ simulate.sh -n 4 -r 1000000 2>log + 239454 + 386702 + 13849 + 873526 + +$ simulate.sh -n 3 -r 1000000 -x 100 2>log + 6643700 +62182300 + 5230600 + +$ simulate.sh -n 2 -r 1000 -x 1000 2>log + 565000 + 636000 + +$ time simulate.sh -n 2 -r 1000 -x 1000 -t 3 2>log + 336000 + 320000 +real 0m3.012s +user 0m0.005s +sys 0m0.006s ----- -Get the swift-on-cloud repository from git -[source,bash] +stats.sh +~~~~~~~~ + +The stats.sh script serves as a trivial model of an "analysis" +program. It reads N files each containing M integers and simply prints +the\ average of all those numbers to stdout. Similarly to simulate.sh +it logs environmental information to the stderr. + ----- -git clone git@github.com:yadudoc/swift-on-cloud.git -cd swift-on-cloud/compute-engine +$ ls f* +f1 f2 f3 f4 + +$ cat f* +25 +60 +40 +75 + +$ stats.sh f* 2>log +50 ----- +Basics of the Swift language with local execution +------------------------------------------------- + +A Summary of Swift in a nutshell +~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ + +* Swift scripts are text files ending in `.swift` The `swift` command +runs on any host, and executes these scripts. `swift` is a Java +application, which you can install almost anywhere. On Linux, just +unpack the distribution `tar` file and add its `bin/` directory to +your `PATH`. + +* Swift scripts run ordinary applications, just like shell scripts +do. Swift makes it easy to run these applications on parallel and +remote computers (from laptops to supercomputers). If you can `ssh` to +the system, Swift can likely run applications there. + +* The details of where to run applications and how to get files back +and forth are described in configuration files separate from your +program. Swift speaks ssh, PBS, Condor, SLURM, LSF, SGE, Cobalt, and +Globus to run applications, and scp, http, ftp, and GridFTP to move +data. + +* The Swift language has 5 main data types: `boolean`, `int`, +`string`, `float`, and `file`. Collections of these are dynamic, +sparse arrays of arbitrary dimension and structures of scalars and/or +arrays defined by the `type` declaration. + +* Swift file variables are "mapped" to external files. Swift sends +files to and from remote systems for you automatically. + +* Swift variables are "single assignment": once you set them you can't +change them (in a given block of code). This makes Swift a natural, +"parallel data flow" language. This programming model keeps your +workflow scripts simple and easy to write and understand. + +* Swift lets you define functions to "wrap" application programs, and +to cleanly structure more complex scripts. Swift `app` functions take +files and parameters as inputs and return files as outputs. + +* A compact set of built-in functions for string and file +manipulation, type conversions, high level IO, etc. is provided. +Swift's equivalent of `printf()` is `tracef()`, with limited and +slightly different format codes. + +* Swift's `foreach {}` statement is the main parallel workhorse of the +language, and executes all iterations of the loop concurrently. The +actual number of parallel tasks executed is based on available +resources and settable "throttles". + +* In fact, Swift conceptually executes *all* the statements, +expressions and function calls in your program in parallel, based on +data flow. These are similarly throttled based on available resources +and settings. -Manage you Cloud resources -^^^^^^^^^^^^^^^^^^^^^^^^^^ +* Swift also has `if` and `switch` statements for conditional +execution. These are seldom needed in simple workflows but they enable +very dynamic workflow patterns to be specified. -Update the file *swift-on-cloud/compute-engine/configs* in the cloned repository from the previous step, -with the following information: +We'll see many of these points in action in the examples below. Lets +get started! - * GCE_PROJECT : Name of project selected during the compute-engine sign up. - * GCE_PROJECTID : This is the unique ID for your project selected during compute-engine sign up. - * WORKER_MACHINE_TYPE, HEADNODE_MACHINE_TYPE: VM types for workers and headnode, choose between: - - 'f1-micro' - - 'g1-small' - - 'n1-standard-<1,2,4,8>' - - 'n1--<2,4,8>' - * GCE_WORKER_COUNT : Number of workers to start at setup (pick a number between 1 and 20) - * GCE_ZONE : GCE Region to use (Multiple regions are not supported now). Choose between: - - 'us-central1-a' and 'us-central1-b' (with Sandy bridge processors) - - 'europe-west1-a' and 'europe-west1-b' (with Sandy bridge processors) - - 'asia-east1-a' and 'asia-east1-b' (with Ivy bridge processors) +Part 1: Run a single application under Swift +~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ -NOTE: Read more about Compute-engine zones https://developers.google.com/compute/docs/zones[here] +The first swift script, p1.swift, runs simulate.sh to generate a +single random number. It writes the number to a file. -NOTE: GCE_WORKER_COUNT directly affects the cost. If you require more than 22 nodes including the -headnode, file a request to increase your resource quotas. +image::part01.png["p1 workflow",align="center"] -WARNING: Do *NOT* change the images for the worker and headnode to point at images which have not -been explicitly setup with swift. +.p1.swift +----- +sys::[cat ../part01/p1.swift] +----- + + +To run this script, run the following command: +----- +$ cd part01 +$ swift p1.swift +Swift 0.95 Branch SVN swift-r7903 cog-r3908 +RunID: run001 +Progress: Tue, 03 Jun 2014 15:01:28-0500 +Final status:Tue, 03 Jun 2014 15:01:29-0500 Finished successfully:1 +$ cat sim.out + 84 +$ swift p1.swift +$ cat sim.out + 36 +----- + +To cleanup the directory and remove all outputs (including the log +files and directories that Swift generates), run the cleanup script +which is located in the tutorial PATH: + +----- +$ cleanup +------ + +NOTE: You'll also find a Swift configuration files in each `partNN` +directory of this tutorial. These specify the environment-specific +details of where to find application programs and where to run them . +These files will be explained in more detail in parts 4-6, and can +be ignored for now. + +//// +It defines +things like the work directory, the scheduler to use, and how to +control parallelism. The sites.xml file below will tell Swift to run +on the local machine only, and run just 1 task at a time. + +.swift.properties +----- +sys::[cat ../part01/swift.properties] +----- + In this case, it +indicates that the app "simulate" (the first token in the command line +declaration of the function `simulation`, at line NNN) is located in the file +simulate.sh and (since the path `simulate.sh` is specified with no +directory components) Swift expects that the `simulate.sh` executable +will be available in your $PATH. +//// -Start your cloud setup! -^^^^^^^^^^^^^^^^^^^^^^^ +Part 2: Running an ensemble of many apps in parallel with a "foreach" loop +~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ -Once you finish editing the configs file with your preferences, start the cloud instances -by sourcing the setup script. +The `p2.swift` script introduces the `foreach` parallel iteration +construct to run many concurrent simulations. -The setup script will setup firewall rules, copy over the required images and start a headnode -and the requested number of worker instances. +image::part02.png[align="center"] -[source, bash] +.p2.swift ----- -# Must source the setup script. -source setup.sh +sys::[cat ../part02/p2.swift] ----- -NOTE: The setup script will ask for a passphrase when you run it for the first time. If you -give a passphrase, it will be required when you attempt to connect to the cloud instances. +The script also shows an +example of naming the output files of an ensemble run. In this case, the output files will be named +`output/sim_N.out`. -NOTE: The setup.sh script may not work on shells besides bash. +In part 2, we update the swift.properties file. +Instead of using shell script (simulate is a link to simulate.sh), we use the equivalent +python version (simulate.py). Swift does not need to know anything about the language an +application is written in. The application can be written in Perl, Python, Java, Fortran, +or any other language. -Run swift from your local machine -^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ +The swift.properties file also defines properties that control the parallelism involved +in the swift execution. By setting the tasksPerWorker to the desired number of parallel +application invocations it is possible to take advantage of multiple cores in the +processor. The taskThrottle variable is used to limit number of tasks sent to +workers for execution. Both tasksPerWorker and taskThrottle are set to 2 in the tutorial +and could be set to the number of cores available on your machine. + +----- +sys::[cat ../part02/swift.properties] +----- -Now, once you've configured and started you cloud resources we can move on to trying the -swift-cloud-tutorial. To run the cloud tutorial from your local machine : -[source,bash] +To run the script and view the output: ----- -cd swift-on-cloud/swift-cloud-tutorial -source setup.sh +$ cd ../part02 +$ swift p2.swift +$ ls output +sim_0.out sim_1.out sim_2.out sim_3.out sim_4.out sim_5.out sim_6.out sim_7.out sim_8.out sim_9.out +$ more output/* +:::::::::::::: +output/sim_0.out +:::::::::::::: + 44 +:::::::::::::: +output/sim_1.out +:::::::::::::: + 55 +... +:::::::::::::: +output/sim_9.out +:::::::::::::: + 82 ----- -NOTE: You must source the setup.sh script. +Part 3: Analyzing results of a parallel ensemble +~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ +After all the parallel simulations in an ensemble run have completed, +its typically necessary to gather and analyze their results with some +kind of post-processing analysis program or script. p3.swift +introduces such a postprocessing step. In this case, the files created +by all of the parallel runs of `simulation.sh` will be averaged by by +the trivial "analysis application" `stats.sh`: -Run the tutorial on the cloud -^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ +image::part03.png[align="center"] -Once your cloud resources have been configured and setup, you can run the swift-cloud-tutorial -directly from the cloud. The cloud resources created include a headnode, to which you would -connect to, and the several nodes in worker roles which would do computations in parallel. +.p3.swift +---- +sys::[cat ../part03/p3.swift] +---- -To run the tutorial, first connect to the headnode: +To run: +---- +$ cd part03 +$ swift p3.swift +---- +Note that in `p3.swift` we expose more of the capabilities of the +`simulate.sh` application to the `simulation()` app function: -[source, bash] ----- -# Connect to the Headnode -connect headnode -# This will have you logged in to the headnode on the cloud +app (file o) simulation (int sim_steps, int sim_range, int sim_values) +{ + simulate "--timesteps" sim_steps "--range" sim_range "--nvalues" sim_values stdout=filename(o); +} ----- +`p3.swift` also shows how to fetch application-specific values from +the `swift` command line in a Swift script using `arg()` which +accepts a keyword-style argument and its default value: + +----- +int nsim = toInt(arg("nsim","10")); +int steps = toInt(arg("steps","1")); +int range = toInt(arg("range","100")); +int values = toInt(arg("values","5")); +----- -Miscellanious operations supported: -^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ +Now we can specify that more runs should be performed and that each should run for more timesteps, and produce more that one value each, within a specified range, using command line arguments placed after the Swift script name in the form `-parameterName=value`: -[source, bash] ----- -# Connect to the Headnode -connect headnode +$ swift p3.swift -nsim=3 -steps=10 -values=4 -range=1000000 +Swift 0.95 Branch SVN swift-r7903 cog-r3908 +RunID: run001 +Progress: Tue, 03 Jun 2014 17:06:58-0500 +Progress: Tue, 03 Jun 2014 17:06:59-0500 Submitted:2 Active:1 +Progress: Tue, 03 Jun 2014 17:07:00-0500 Submitted:1 Active:2 +Progress: Tue, 03 Jun 2014 17:07:01-0500 Active:3 +Progress: Tue, 03 Jun 2014 17:07:09-0500 Active:2 Finished successfully:1 +Progress: Tue, 03 Jun 2014 17:07:10-0500 Active:1 Finished successfully:2 +Final status:Tue, 03 Jun 2014 17:07:11-0500 Finished successfully:4 + +$ ls output/ +average.out sim_0.out sim_1.out sim_2.out +$ more output/* +:::::::::::::: +output/average.out +:::::::::::::: +651368 +:::::::::::::: +output/sim_0.out +:::::::::::::: + 735700 + 886206 + 997391 + 982970 +:::::::::::::: +output/sim_1.out +:::::::::::::: + 260071 + 264195 + 869198 + 933537 +:::::::::::::: +output/sim_2.out +:::::::::::::: + 201806 + 213540 + 527576 + 944233 ----- -To see resources use : -[source, bash] +Now try running (`-nsim=`) 100 simulations of (`-steps=`) 1 second each: + ----- -list_resources +$ swift p3.swift -nsim=100 -steps=1 +Swift 0.95 Branch SVN swift-r7903 cog-r3908 +RunID: run002 +Progress: Tue, 03 Jun 2014 17:08:05-0500 +Progress: Tue, 03 Jun 2014 17:08:06-0500 Selecting site:79 Submitted:20 Active:1 +Progress: Tue, 03 Jun 2014 17:08:07-0500 Selecting site:78 Submitted:18 Active:3 Finished successfully:1 +Progress: Tue, 03 Jun 2014 17:08:08-0500 Selecting site:75 Submitted:17 Active:4 Finished successfully:4 +Progress: Tue, 03 Jun 2014 17:08:09-0500 Selecting site:71 Submitted:16 Active:5 Finished successfully:8 +Progress: Tue, 03 Jun 2014 17:08:11-0500 Selecting site:66 Submitted:15 Active:6 Finished successfully:13 +Progress: Tue, 03 Jun 2014 17:08:12-0500 Selecting site:60 Submitted:14 Active:7 Finished successfully:19 +Progress: Tue, 03 Jun 2014 17:08:13-0500 Selecting site:53 Submitted:13 Active:8 Finished successfully:26 +Progress: Tue, 03 Jun 2014 17:08:14-0500 Selecting site:45 Submitted:12 Active:9 Finished successfully:34 +Progress: Tue, 03 Jun 2014 17:08:15-0500 Selecting site:36 Submitted:11 Active:10 Finished successfully:43 +Progress: Tue, 03 Jun 2014 17:08:16-0500 Selecting site:26 Submitted:10 Active:11 Finished successfully:53 +Progress: Tue, 03 Jun 2014 17:08:17-0500 Selecting site:15 Active:21 Finished successfully:64 +Progress: Tue, 03 Jun 2014 17:08:18-0500 Active:16 Finished successfully:84 +Progress: Tue, 03 Jun 2014 17:08:19-0500 Active:11 Finished successfully:89 +Final status:Tue, 03 Jun 2014 17:08:19-0500 Finished successfully:101 ----- -To ssh to any resource listed : -[source, bash] +Part 4: Specifying more complex workflow patterns +~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ + +p4.swift expands the workflow pattern of p3.swift to add additional +stages to the workflow. Here, we generate a dynamic seed value that +will be used by all of the simulations, and for each simulation, we +run an pre-processing application to generate a unique "bias +file". This pattern is shown below, followed by the Swift script. + +image::part06.png[align="center"] + +.p4.swift +---- +sys::[cat ../part04/p4.swift] +---- + +Note that the workflow is based on data flow dependencies: each simulation depends on the seed value, calculated in this statement: +----- +seedfile = genseed(1); +----- +and on the bias file, computed and then consumed in these two dependent statements: ----- -# Specify the resource name as listed by list_resources here -# If resource_name is omitted, connect will try to connect to the -# headnode -connect + biasfile = genbias(1000, 20, simulate_script); + (simout,simlog) = simulation(steps, range, biasfile, 1000000, values, simulate_script, seedfile); ----- -To stop all resources use from your local machine. Please wait for a couple of minutes -for the command to finish. Confirm that all resources have been removed using -list_resources. : -[source, bash] +To run: +---- +$ cd ../part04 +$ swift p4.swift +---- + +The default parameters result in the following execution log: + ----- -# This will delete the headnode as well as all workers. -# This command will take a few minutes to execute -dissolve -# Use list_resources to check if any resources still linger -list_resource +$ swift p4.swift +Swift 0.95 Branch SVN swift-r7903 cog-r3908 +RunID: run001 +Progress: Thu, 05 Jun 2014 06:01:36-0500 + +*** Script parameters: nsim=10 range=100 num values=10 + +Progress: Thu, 05 Jun 2014 06:01:37-0500 Submitted:8 Active:2 Finished successfully:11 +Progress: Thu, 05 Jun 2014 06:01:38-0500 Submitted:6 Active:2 Finished successfully:13 +Progress: Thu, 05 Jun 2014 06:01:39-0500 Submitted:4 Active:2 Finished successfully:15 +Progress: Thu, 05 Jun 2014 06:01:40-0500 Submitted:2 Active:2 Finished successfully:17 +Progress: Thu, 05 Jun 2014 06:01:41-0500 Active:2 Finished successfully:19 +Final status:Thu, 05 Jun 2014 06:01:41-0500 Finished successfully:22 ----- -To add more worker nodes use: -[source, bash] +which produces the following output: +----- +$ ls -lrt output +total 264 +-rw-r--r-- 1 p01532 61532 9 Aug 27 19:17 seed.dat +-rw-r--r-- 1 p01532 61532 180 Aug 27 19:17 bias_9.dat +-rw-r--r-- 1 p01532 61532 180 Aug 27 19:17 bias_8.dat +-rw-r--r-- 1 p01532 61532 180 Aug 27 19:17 bias_7.dat +-rw-r--r-- 1 p01532 61532 180 Aug 27 19:17 bias_6.dat +-rw-r--r-- 1 p01532 61532 180 Aug 27 19:17 bias_5.dat +-rw-r--r-- 1 p01532 61532 180 Aug 27 19:17 bias_4.dat +-rw-r--r-- 1 p01532 61532 180 Aug 27 19:17 bias_3.dat +-rw-r--r-- 1 p01532 61532 180 Aug 27 19:17 bias_2.dat +-rw-r--r-- 1 p01532 61532 180 Aug 27 19:17 bias_1.dat +-rw-r--r-- 1 p01532 61532 180 Aug 27 19:17 bias_0.dat +-rw-r--r-- 1 p01532 61532 90 Aug 27 19:17 sim_9.out +-rw-r--r-- 1 p01532 61532 14897 Aug 27 19:17 sim_9.log +-rw-r--r-- 1 p01532 61532 14897 Aug 27 19:17 sim_8.log +-rw-r--r-- 1 p01532 61532 90 Aug 27 19:17 sim_7.out +-rw-r--r-- 1 p01532 61532 90 Aug 27 19:17 sim_6.out +-rw-r--r-- 1 p01532 61532 14897 Aug 27 19:17 sim_6.log +-rw-r--r-- 1 p01532 61532 90 Aug 27 19:17 sim_5.out +-rw-r--r-- 1 p01532 61532 14897 Aug 27 19:17 sim_5.log +-rw-r--r-- 1 p01532 61532 90 Aug 27 19:17 sim_4.out +-rw-r--r-- 1 p01532 61532 14897 Aug 27 19:17 sim_4.log +-rw-r--r-- 1 p01532 61532 14897 Aug 27 19:17 sim_1.log +-rw-r--r-- 1 p01532 61532 90 Aug 27 19:18 sim_8.out +-rw-r--r-- 1 p01532 61532 14897 Aug 27 19:18 sim_7.log +-rw-r--r-- 1 p01532 61532 90 Aug 27 19:18 sim_3.out +-rw-r--r-- 1 p01532 61532 14897 Aug 27 19:18 sim_3.log +-rw-r--r-- 1 p01532 61532 90 Aug 27 19:18 sim_2.out +-rw-r--r-- 1 p01532 61532 14898 Aug 27 19:18 sim_2.log +-rw-r--r-- 1 p01532 61532 90 Aug 27 19:18 sim_1.out +-rw-r--r-- 1 p01532 61532 90 Aug 27 19:18 sim_0.out +-rw-r--r-- 1 p01532 61532 14897 Aug 27 19:18 sim_0.log +-rw-r--r-- 1 p01532 61532 9 Aug 27 19:18 average.out +-rw-r--r-- 1 p01532 61532 14675 Aug 27 19:18 average.log ----- -# The number of nodes you can create is limited by the quota's set by google. -# To increase quotas contact google using the change request form available -# under Your project / Compute engine / Quotas tab in developer console -start_n_more -# Alternatively update the configs with the total number of nodes you require -# and rerun the setup script -source setup.sh +Each sim_N.out file is the sum of its bias file plus newly "simulated" random output scaled by 1,000,000: + +----- +$ cat output/bias_0.dat + 302 + 489 + 81 + 582 + 664 + 290 + 839 + 258 + 506 + 310 + 293 + 508 + 88 + 261 + 453 + 187 + 26 + 198 + 402 + 555 + +$ cat output/sim_0.out +64000302 +38000489 +32000081 +12000582 +46000664 +36000290 +35000839 +22000258 +49000506 +75000310 ----- -Note: Creating an Image https://developers.google.com/compute/docs/images#creatingimage[Link] +We produce 20 values in each bias file. Simulations of less than that +number of values ignore the unneeded number, while simualtions of more +than 20 will use the last bias number for all remoaining values past +20. As an exercise, adjust the code to produce the same number of +bias values as is needed for each simulation. As a further exercise, +modify the script to generate a unique seed value for each simulation, +which is a common practice in ensemble computations. + +Performing larger Swift runs +~~~~~~~~~~~~~~~~~~~~~~~~~~~~ + +To test with larger runs, provide suitable command line arguments. +The example below will run 1000 simulations with each simulation +taking 5 seconds. + +----- +$ swift p4.swift -steps=5 -nsim=1000 +----- diff --git a/swift-cloud-tutorial/doc/documentation-working b/swift-cloud-tutorial/doc/documentation-working deleted file mode 100644 index 56ee00d..0000000 --- a/swift-cloud-tutorial/doc/documentation-working +++ /dev/null @@ -1,615 +0,0 @@ -Swift Tutorial for running on localhost -======================================= - -This tutorial is viewable at: -http://swift-lang.org/tutorials/localhost/tutorial.html - - -Introduction: Why Parallel Scripting? ------------------------------------- - -Swift is a simple scripting language for executing many instances of -ordinary application programs on distributed parallel resources. -Swift scripts run many copies of ordinary programs concurrently, using -statements like this: ------ -foreach protein in proteinList { - runBLAST(protein); -} ------ -Swift acts like a structured "shell" language. It runs programs -concurrently as soon as their inputs are available, reducing the need -for complex parallel programming. Swift expresses your workflow in a -portable fashion: The same script runs on multicore computers, -clusters, clouds, grids, and supercomputers. - -In this tutorial, you’ll be able to first try a few Swift examples on your -local machine (parts 1-4), to get a sense of the language. Then in parts 5-7 -you will run similar workflows on remote resources such as Midway, distributed -OSG Connect resources, Cray, etc., both locally on those machines and on your -own machine by connecting to them remotely. You will thus see how more complex -workflows can be expressed with Swift scripts. - -Swift installation ------------------- -1. Download the file from http://swiftlang.org/packages/swift-0.95-RC6.tar.gz -2. Extract by running "tar xfz swift-0.95-RC6.tar.gz" -3. Add to PATH by running "export PATH=$PATH:/path/to/swift-0.95-RC6/bin" - -Swift tutorial installation ---------------------------- -Run the following commands to extract these tutorial scripts. - ------ -$ cd $HOME -$ wget http://swiftlang.org/tutorials/localhost/swift-localhost-tutorial.tar.gz -$ tar xvfz swift-localhost-tutorial.tar.gz -$ cd swift-localhost-tutorial ------ - -Run the tutorial setup script ------ -$ source setup.sh # You must run this with "source" ! ------ - -To check out the tutorial scripts from SVN -~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ - -If you later want to get the most recent version of this tutorial from -the Swift Subversion repository, do: - ------ -$ svn co https://svn.ci.uchicago.edu/svn/vdl2/SwiftTutorials/swift-localhost-tutorial ------ - -This will create a directory called "swift-localhost-tutorial" which contains all of the -files used in this tutorial. - - -Simple "science applications" for the workflow tutorial -------------------------------------------------------- - -This tutorial is based on two intentionally trivial example programs, -`simulation.sh` and `stats.sh`, (implemented as bash shell scripts) -that serve as easy-to-understand proxies for real science -applications. These "programs" behave as follows. - -simulate.sh -~~~~~~~~~~~ - -The simulation.sh script serves as a trivial proxy for any more -complex scientific simulation application. It generates and prints a -set of one or more random integers in the range [0-2^62) as controlled -by its command line arguments, which are: - ------ -$ ./app/simulate.sh --help -./app/simulate.sh: usage: - -b|--bias offset bias: add this integer to all results [0] - -B|--biasfile file of integer biases to add to results [none] - -l|--log generate a log in stderr if not null [y] - -n|--nvalues print this many values per simulation [1] - -r|--range range (limit) of generated results [100] - -s|--seed use this integer [0..32767] as a seed [none] - -S|--seedfile use this file (containing integer seeds [0..32767]) one per line [none] - -t|--timesteps number of simulated "timesteps" in seconds (determines runtime) [1] - -x|--scale scale the results by this integer [1] - -h|-?|?|--help print this help -$ ------ - -All of thess arguments are optional, with default values indicated above as `[n]`. - -//// -.simulation.sh arguments -[width="80%",cols="^2,10",options="header"] - -|======================= -|Argument|Short|Description -|1 |runtime: sets run time of simulation.sh in seconds -|2 |range: limits generated values to the range [0,range-1] -|3 |biasfile: add the integer contained in this file to each value generated -|4 |scale: multiplies each generated value by this integer -|5 |count: number of values to generate in the simulation -|======================= -//// - -With no arguments, simulate.sh prints 1 number in the range of -1-100. Otherwise it generates n numbers of the form (R*scale)+bias -where R is a random integer. By default it logs information about its -execution environment to stderr. Here's some examples of its usage: - ------ -$ simulate.sh 2>log - 5 -$ head -4 log - -Called as: /home/wilde/swift/tut/CIC_2013-08-09/app/simulate.sh: -Start time: Thu Aug 22 12:40:24 CDT 2013 -Running on node: login01.osgconnect.net - -$ simulate.sh -n 4 -r 1000000 2>log - 239454 - 386702 - 13849 - 873526 - -$ simulate.sh -n 3 -r 1000000 -x 100 2>log - 6643700 -62182300 - 5230600 - -$ simulate.sh -n 2 -r 1000 -x 1000 2>log - 565000 - 636000 - -$ time simulate.sh -n 2 -r 1000 -x 1000 -t 3 2>log - 336000 - 320000 -real 0m3.012s -user 0m0.005s -sys 0m0.006s ------ - -stats.sh -~~~~~~~~ - -The stats.sh script serves as a trivial model of an "analysis" -program. It reads N files each containing M integers and simply prints -the\ average of all those numbers to stdout. Similarly to simulate.sh -it logs environmental information to the stderr. - ------ -$ ls f* -f1 f2 f3 f4 - -$ cat f* -25 -60 -40 -75 - -$ stats.sh f* 2>log -50 ------ - - -Basics of the Swift language with local execution -------------------------------------------------- - -A Summary of Swift in a nutshell -~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ - -* Swift scripts are text files ending in `.swift` The `swift` command -runs on any host, and executes these scripts. `swift` is a Java -application, which you can install almost anywhere. On Linux, just -unpack the distribution `tar` file and add its `bin/` directory to -your `PATH`. - -* Swift scripts run ordinary applications, just like shell scripts -do. Swift makes it easy to run these applications on parallel and -remote computers (from laptops to supercomputers). If you can `ssh` to -the system, Swift can likely run applications there. - -* The details of where to run applications and how to get files back -and forth are described in configuration files separate from your -program. Swift speaks ssh, PBS, Condor, SLURM, LSF, SGE, Cobalt, and -Globus to run applications, and scp, http, ftp, and GridFTP to move -data. - -* The Swift language has 5 main data types: `boolean`, `int`, -`string`, `float`, and `file`. Collections of these are dynamic, -sparse arrays of arbitrary dimension and structures of scalars and/or -arrays defined by the `type` declaration. - -* Swift file variables are "mapped" to external files. Swift sends -files to and from remote systems for you automatically. - -* Swift variables are "single assignment": once you set them you can't -change them (in a given block of code). This makes Swift a natural, -"parallel data flow" language. This programming model keeps your -workflow scripts simple and easy to write and understand. - -* Swift lets you define functions to "wrap" application programs, and -to cleanly structure more complex scripts. Swift `app` functions take -files and parameters as inputs and return files as outputs. - -* A compact set of built-in functions for string and file -manipulation, type conversions, high level IO, etc. is provided. -Swift's equivalent of `printf()` is `tracef()`, with limited and -slightly different format codes. - -* Swift's `foreach {}` statement is the main parallel workhorse of the -language, and executes all iterations of the loop concurrently. The -actual number of parallel tasks executed is based on available -resources and settable "throttles". - -* In fact, Swift conceptually executes *all* the statements, -expressions and function calls in your program in parallel, based on -data flow. These are similarly throttled based on available resources -and settings. - -* Swift also has `if` and `switch` statements for conditional -execution. These are seldom needed in simple workflows but they enable -very dynamic workflow patterns to be specified. - -We'll see many of these points in action in the examples below. Lets -get started! - -Part 1: Run a single application under Swift -~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ - -The first swift script, p1.swift, runs simulate.sh to generate a -single random number. It writes the number to a file. - -image::part01.png["p1 workflow",align="center"] - -.p1.swift ------ -sys::[cat ../part01/p1.swift] ------ - - -To run this script, run the following command: ------ -$ cd part01 -$ swift p1.swift -Swift 0.95 Branch SVN swift-r7903 cog-r3908 -RunID: run001 -Progress: Tue, 03 Jun 2014 15:01:28-0500 -Final status:Tue, 03 Jun 2014 15:01:29-0500 Finished successfully:1 -$ cat sim.out - 84 -$ swift p1.swift -$ cat sim.out - 36 ------ - -To cleanup the directory and remove all outputs (including the log -files and directories that Swift generates), run the cleanup script -which is located in the tutorial PATH: - ------ -$ cleanup ------- - -NOTE: You'll also find a Swift configuration files in each `partNN` -directory of this tutorial. These specify the environment-specific -details of where to find application programs and where to run them . -These files will be explained in more detail in parts 4-6, and can -be ignored for now. - -//// -It defines -things like the work directory, the scheduler to use, and how to -control parallelism. The sites.xml file below will tell Swift to run -on the local machine only, and run just 1 task at a time. - -.swift.properties ------ -sys::[cat ../part01/swift.properties] ------ - - In this case, it -indicates that the app "simulate" (the first token in the command line -declaration of the function `simulation`, at line NNN) is located in the file -simulate.sh and (since the path `simulate.sh` is specified with no -directory components) Swift expects that the `simulate.sh` executable -will be available in your $PATH. - -//// - -Part 2: Running an ensemble of many apps in parallel with a "foreach" loop -~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ - -The `p2.swift` script introduces the `foreach` parallel iteration -construct to run many concurrent simulations. - -image::part02.png[align="center"] - -.p2.swift ------ -sys::[cat ../part02/p2.swift] ------ - -The script also shows an -example of naming the output files of an ensemble run. In this case, the output files will be named -`output/sim_N.out`. - -In part 2, we update the swift.properties file. - -Instead of using shell script (simulate is a link to simulate.sh), we use the equivalent -python version (simulate.py). Swift does not need to know anything about the language an -application is written in. The application can be written in Perl, Python, Java, Fortran, -or any other language. - -The swift.properties file also defines properties that control the parallelism involved -in the swift execution. By setting the tasksPerWorker to the desired number of parallel -application invocations it is possible to take advantage of multiple cores in the -processor. The taskThrottle variable is used to limit number of tasks sent to -workers for execution. Both tasksPerWorker and taskThrottle are set to 2 in the tutorial -and could be set to the number of cores available on your machine. - ------ -sys::[cat ../part02/swift.properties] ------ - - -To run the script and view the output: ------ -$ cd ../part02 -$ swift p2.swift -$ ls output -sim_0.out sim_1.out sim_2.out sim_3.out sim_4.out sim_5.out sim_6.out sim_7.out sim_8.out sim_9.out -$ more output/* -:::::::::::::: -output/sim_0.out -:::::::::::::: - 44 -:::::::::::::: -output/sim_1.out -:::::::::::::: - 55 -... -:::::::::::::: -output/sim_9.out -:::::::::::::: - 82 ------ - -Part 3: Analyzing results of a parallel ensemble -~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ - -After all the parallel simulations in an ensemble run have completed, -its typically necessary to gather and analyze their results with some -kind of post-processing analysis program or script. p3.swift -introduces such a postprocessing step. In this case, the files created -by all of the parallel runs of `simulation.sh` will be averaged by by -the trivial "analysis application" `stats.sh`: - -image::part03.png[align="center"] - -.p3.swift ----- -sys::[cat ../part03/p3.swift] ----- - -To run: ----- -$ cd part03 -$ swift p3.swift ----- - -Note that in `p3.swift` we expose more of the capabilities of the -`simulate.sh` application to the `simulation()` app function: - ------ -app (file o) simulation (int sim_steps, int sim_range, int sim_values) -{ - simulate "--timesteps" sim_steps "--range" sim_range "--nvalues" sim_values stdout=filename(o); -} ------ - -`p3.swift` also shows how to fetch application-specific values from -the `swift` command line in a Swift script using `arg()` which -accepts a keyword-style argument and its default value: - ------ -int nsim = toInt(arg("nsim","10")); -int steps = toInt(arg("steps","1")); -int range = toInt(arg("range","100")); -int values = toInt(arg("values","5")); ------ - -Now we can specify that more runs should be performed and that each should run for more timesteps, and produce more that one value each, within a specified range, using command line arguments placed after the Swift script name in the form `-parameterName=value`: - ------ -$ swift p3.swift -nsim=3 -steps=10 -values=4 -range=1000000 -Swift 0.95 Branch SVN swift-r7903 cog-r3908 -RunID: run001 -Progress: Tue, 03 Jun 2014 17:06:58-0500 -Progress: Tue, 03 Jun 2014 17:06:59-0500 Submitted:2 Active:1 -Progress: Tue, 03 Jun 2014 17:07:00-0500 Submitted:1 Active:2 -Progress: Tue, 03 Jun 2014 17:07:01-0500 Active:3 -Progress: Tue, 03 Jun 2014 17:07:09-0500 Active:2 Finished successfully:1 -Progress: Tue, 03 Jun 2014 17:07:10-0500 Active:1 Finished successfully:2 -Final status:Tue, 03 Jun 2014 17:07:11-0500 Finished successfully:4 - -$ ls output/ -average.out sim_0.out sim_1.out sim_2.out -$ more output/* -:::::::::::::: -output/average.out -:::::::::::::: -651368 -:::::::::::::: -output/sim_0.out -:::::::::::::: - 735700 - 886206 - 997391 - 982970 -:::::::::::::: -output/sim_1.out -:::::::::::::: - 260071 - 264195 - 869198 - 933537 -:::::::::::::: -output/sim_2.out -:::::::::::::: - 201806 - 213540 - 527576 - 944233 ------ - -Now try running (`-nsim=`) 100 simulations of (`-steps=`) 1 second each: - ------ -$ swift p3.swift -nsim=100 -steps=1 -Swift 0.95 Branch SVN swift-r7903 cog-r3908 -RunID: run002 -Progress: Tue, 03 Jun 2014 17:08:05-0500 -Progress: Tue, 03 Jun 2014 17:08:06-0500 Selecting site:79 Submitted:20 Active:1 -Progress: Tue, 03 Jun 2014 17:08:07-0500 Selecting site:78 Submitted:18 Active:3 Finished successfully:1 -Progress: Tue, 03 Jun 2014 17:08:08-0500 Selecting site:75 Submitted:17 Active:4 Finished successfully:4 -Progress: Tue, 03 Jun 2014 17:08:09-0500 Selecting site:71 Submitted:16 Active:5 Finished successfully:8 -Progress: Tue, 03 Jun 2014 17:08:11-0500 Selecting site:66 Submitted:15 Active:6 Finished successfully:13 -Progress: Tue, 03 Jun 2014 17:08:12-0500 Selecting site:60 Submitted:14 Active:7 Finished successfully:19 -Progress: Tue, 03 Jun 2014 17:08:13-0500 Selecting site:53 Submitted:13 Active:8 Finished successfully:26 -Progress: Tue, 03 Jun 2014 17:08:14-0500 Selecting site:45 Submitted:12 Active:9 Finished successfully:34 -Progress: Tue, 03 Jun 2014 17:08:15-0500 Selecting site:36 Submitted:11 Active:10 Finished successfully:43 -Progress: Tue, 03 Jun 2014 17:08:16-0500 Selecting site:26 Submitted:10 Active:11 Finished successfully:53 -Progress: Tue, 03 Jun 2014 17:08:17-0500 Selecting site:15 Active:21 Finished successfully:64 -Progress: Tue, 03 Jun 2014 17:08:18-0500 Active:16 Finished successfully:84 -Progress: Tue, 03 Jun 2014 17:08:19-0500 Active:11 Finished successfully:89 -Final status:Tue, 03 Jun 2014 17:08:19-0500 Finished successfully:101 ------ - -Part 4: Specifying more complex workflow patterns -~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ - -p4.swift expands the workflow pattern of p3.swift to add additional -stages to the workflow. Here, we generate a dynamic seed value that -will be used by all of the simulations, and for each simulation, we -run an pre-processing application to generate a unique "bias -file". This pattern is shown below, followed by the Swift script. - -image::part06.png[align="center"] - -.p4.swift ----- -sys::[cat ../part04/p4.swift] ----- - -Note that the workflow is based on data flow dependencies: each simulation depends on the seed value, calculated in this statement: ------ -seedfile = genseed(1); ------ -and on the bias file, computed and then consumed in these two dependent statements: ------ - biasfile = genbias(1000, 20, simulate_script); - (simout,simlog) = simulation(steps, range, biasfile, 1000000, values, simulate_script, seedfile); ------ - -To run: ----- -$ cd ../part04 -$ swift p4.swift ----- - -The default parameters result in the following execution log: - ------ -$ swift p4.swift -Swift 0.95 Branch SVN swift-r7903 cog-r3908 -RunID: run001 -Progress: Thu, 05 Jun 2014 06:01:36-0500 - -*** Script parameters: nsim=10 range=100 num values=10 - -Progress: Thu, 05 Jun 2014 06:01:37-0500 Submitted:8 Active:2 Finished successfully:11 -Progress: Thu, 05 Jun 2014 06:01:38-0500 Submitted:6 Active:2 Finished successfully:13 -Progress: Thu, 05 Jun 2014 06:01:39-0500 Submitted:4 Active:2 Finished successfully:15 -Progress: Thu, 05 Jun 2014 06:01:40-0500 Submitted:2 Active:2 Finished successfully:17 -Progress: Thu, 05 Jun 2014 06:01:41-0500 Active:2 Finished successfully:19 -Final status:Thu, 05 Jun 2014 06:01:41-0500 Finished successfully:22 ------ - -which produces the following output: ------ -$ ls -lrt output -total 264 --rw-r--r-- 1 p01532 61532 9 Aug 27 19:17 seed.dat --rw-r--r-- 1 p01532 61532 180 Aug 27 19:17 bias_9.dat --rw-r--r-- 1 p01532 61532 180 Aug 27 19:17 bias_8.dat --rw-r--r-- 1 p01532 61532 180 Aug 27 19:17 bias_7.dat --rw-r--r-- 1 p01532 61532 180 Aug 27 19:17 bias_6.dat --rw-r--r-- 1 p01532 61532 180 Aug 27 19:17 bias_5.dat --rw-r--r-- 1 p01532 61532 180 Aug 27 19:17 bias_4.dat --rw-r--r-- 1 p01532 61532 180 Aug 27 19:17 bias_3.dat --rw-r--r-- 1 p01532 61532 180 Aug 27 19:17 bias_2.dat --rw-r--r-- 1 p01532 61532 180 Aug 27 19:17 bias_1.dat --rw-r--r-- 1 p01532 61532 180 Aug 27 19:17 bias_0.dat --rw-r--r-- 1 p01532 61532 90 Aug 27 19:17 sim_9.out --rw-r--r-- 1 p01532 61532 14897 Aug 27 19:17 sim_9.log --rw-r--r-- 1 p01532 61532 14897 Aug 27 19:17 sim_8.log --rw-r--r-- 1 p01532 61532 90 Aug 27 19:17 sim_7.out --rw-r--r-- 1 p01532 61532 90 Aug 27 19:17 sim_6.out --rw-r--r-- 1 p01532 61532 14897 Aug 27 19:17 sim_6.log --rw-r--r-- 1 p01532 61532 90 Aug 27 19:17 sim_5.out --rw-r--r-- 1 p01532 61532 14897 Aug 27 19:17 sim_5.log --rw-r--r-- 1 p01532 61532 90 Aug 27 19:17 sim_4.out --rw-r--r-- 1 p01532 61532 14897 Aug 27 19:17 sim_4.log --rw-r--r-- 1 p01532 61532 14897 Aug 27 19:17 sim_1.log --rw-r--r-- 1 p01532 61532 90 Aug 27 19:18 sim_8.out --rw-r--r-- 1 p01532 61532 14897 Aug 27 19:18 sim_7.log --rw-r--r-- 1 p01532 61532 90 Aug 27 19:18 sim_3.out --rw-r--r-- 1 p01532 61532 14897 Aug 27 19:18 sim_3.log --rw-r--r-- 1 p01532 61532 90 Aug 27 19:18 sim_2.out --rw-r--r-- 1 p01532 61532 14898 Aug 27 19:18 sim_2.log --rw-r--r-- 1 p01532 61532 90 Aug 27 19:18 sim_1.out --rw-r--r-- 1 p01532 61532 90 Aug 27 19:18 sim_0.out --rw-r--r-- 1 p01532 61532 14897 Aug 27 19:18 sim_0.log --rw-r--r-- 1 p01532 61532 9 Aug 27 19:18 average.out --rw-r--r-- 1 p01532 61532 14675 Aug 27 19:18 average.log ------ - -Each sim_N.out file is the sum of its bias file plus newly "simulated" random output scaled by 1,000,000: - ------ -$ cat output/bias_0.dat - 302 - 489 - 81 - 582 - 664 - 290 - 839 - 258 - 506 - 310 - 293 - 508 - 88 - 261 - 453 - 187 - 26 - 198 - 402 - 555 - -$ cat output/sim_0.out -64000302 -38000489 -32000081 -12000582 -46000664 -36000290 -35000839 -22000258 -49000506 -75000310 ------ - -We produce 20 values in each bias file. Simulations of less than that -number of values ignore the unneeded number, while simualtions of more -than 20 will use the last bias number for all remoaining values past -20. As an exercise, adjust the code to produce the same number of -bias values as is needed for each simulation. As a further exercise, -modify the script to generate a unique seed value for each simulation, -which is a common practice in ensemble computations. - -Performing larger Swift runs -~~~~~~~~~~~~~~~~~~~~~~~~~~~~ - -To test with larger runs, provide suitable command line arguments. -The example below will run 1000 simulations with each simulation -taking 5 seconds. - ------ -$ swift p4.swift -steps=5 -nsim=1000 ------ From 99e8e621178b157b7b9715c6127b1314c2d19360 Mon Sep 17 00:00:00 2001 From: Yangxinye Yang Date: Tue, 1 Jul 2014 16:36:57 -0500 Subject: [PATCH 10/34] changing README --- swift-cloud-tutorial/doc/README | 368 +++++++++++++++++++++----------- 1 file changed, 249 insertions(+), 119 deletions(-) diff --git a/swift-cloud-tutorial/doc/README b/swift-cloud-tutorial/doc/README index 56ee00d..c8aaeaa 100644 --- a/swift-cloud-tutorial/doc/README +++ b/swift-cloud-tutorial/doc/README @@ -1,8 +1,8 @@ -Swift Tutorial for running on localhost -======================================= +Swift Tutorial for running everywhere +===================================== This tutorial is viewable at: -http://swift-lang.org/tutorials/localhost/tutorial.html +http://swift-lang.org/tutorials/localhost/tutorial.html [red]## Introduction: Why Parallel Scripting? @@ -23,37 +23,43 @@ for complex parallel programming. Swift expresses your workflow in a portable fashion: The same script runs on multicore computers, clusters, clouds, grids, and supercomputers. -In this tutorial, you’ll be able to first try a few Swift examples on your -local machine (parts 1-4), to get a sense of the language. Then in parts 5-7 -you will run similar workflows on remote resources such as Midway, distributed -OSG Connect resources, Cray, etc., both locally on those machines and on your -own machine by connecting to them remotely. You will thus see how more complex -workflows can be expressed with Swift scripts. +This tutorial contains *two parts*. In the first part you will be able to try a few +Swift examples on your local machine, to get a sense of the language. Then in the +second part you will run similar workflows on remote resources such as Midway, +distributed OSG Connect resources, Cray, etc., both locally on those machines and +on your own machine by connecting to them remotely. You will thus see how more +complex workflows can be expressed with Swift scripts. Swift installation ------------------ -1. Download the file from http://swiftlang.org/packages/swift-0.95-RC6.tar.gz +1. Download the file by running "wget http://swiftlang.org/packages/swift-0.95-RC6.tar.gz" 2. Extract by running "tar xfz swift-0.95-RC6.tar.gz" 3. Add to PATH by running "export PATH=$PATH:/path/to/swift-0.95-RC6/bin" -Swift tutorial installation ---------------------------- -Run the following commands to extract these tutorial scripts. +Tutorial scripts installation +----------------------------- +Run the following commands to extract these tutorial scripts. [red]## ----- $ cd $HOME -$ wget http://swiftlang.org/tutorials/localhost/swift-localhost-tutorial.tar.gz -$ tar xvfz swift-localhost-tutorial.tar.gz -$ cd swift-localhost-tutorial +$ wget http://swiftlang.org/tutorials/midway/swift-midway-tutorial.tar.gz +$ tar xvfz swift-midway-tutorial.tar.gz +$ cd swift-midway-tutorial ----- Run the tutorial setup script ----- $ source setup.sh # You must run this with "source" ! ----- +Doing this will add the sample applications `simulate` and `stats` (explained in the next part) and +certain other functionalities to your local `PATH` for you to run the tutorial. -To check out the tutorial scripts from SVN -~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ +In the tutorial directory you will find some `partNN` folders. `part01` to `part03` folders contain +Swift scripts for running jobs locally. `part04` to `part06` contain scripts for running jobs on remote +resources that you have access to, with corresponding configurations. Further explanations on these will +be in Part Two of this tutorial. + +.To check out the tutorial scripts from SVN If you later want to get the most recent version of this tutorial from the Swift Subversion repository, do: @@ -62,12 +68,18 @@ the Swift Subversion repository, do: $ svn co https://svn.ci.uchicago.edu/svn/vdl2/SwiftTutorials/swift-localhost-tutorial ----- -This will create a directory called "swift-localhost-tutorial" which contains all of the -files used in this tutorial. +This will create a directory called "swift-localhost-tutorial" which contains all of the files +used in this tutorial. + +.Verify your environment +To verify that Swift has successfully loaded, do: +----- +$ swift -version # verify that you have Swift 0.95 RC6 +----- -Simple "science applications" for the workflow tutorial -------------------------------------------------------- +Simple sample "science applications" for the workflow tutorial +-------------------------------------------------------------- This tutorial is based on two intentionally trivial example programs, `simulation.sh` and `stats.sh`, (implemented as bash shell scripts) @@ -114,10 +126,10 @@ All of thess arguments are optional, with default values indicated above as `[n] |======================= //// -With no arguments, simulate.sh prints 1 number in the range of -1-100. Otherwise it generates n numbers of the form (R*scale)+bias -where R is a random integer. By default it logs information about its -execution environment to stderr. Here's some examples of its usage: +When running with no arguments, `simulate.sh` prints 1 number in the range of +1-100. Otherwise it generates n numbers of the form +(R*scale)+bias+ +where R is the random integer being produced. By default it logs information about its +execution environment to `stderr`. Here are some examples of its usage: ----- $ simulate.sh 2>log @@ -154,10 +166,11 @@ sys 0m0.006s stats.sh ~~~~~~~~ -The stats.sh script serves as a trivial model of an "analysis" +The `stats.sh` script serves as a trivial model of an "analysis" program. It reads N files each containing M integers and simply prints -the\ average of all those numbers to stdout. Similarly to simulate.sh -it logs environmental information to the stderr. +the average of all those numbers to `stdout`. Similarly to `simulate.sh` +it logs environmental information to the `stderr`. After you redirect the +outputs of `simulate.sh` to files, you can do: ----- $ ls f* @@ -174,8 +187,14 @@ $ stats.sh f* 2>log ----- -Basics of the Swift language with local execution -------------------------------------------------- +[big]#*Tutorial Part One*# +-------------------------- +This tutorial is only for running on localhost. See Part Two for tutorial on running jobs on +remote resources. + + +Basic of the Swift language with local execution +------------------------------------------------ A Summary of Swift in a nutshell ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ @@ -219,7 +238,7 @@ manipulation, type conversions, high level IO, etc. is provided. Swift's equivalent of `printf()` is `tracef()`, with limited and slightly different format codes. -* Swift's `foreach {}` statement is the main parallel workhorse of the +* Swift's `foreach{}` statement is the main parallel workhorse of the language, and executes all iterations of the loop concurrently. The actual number of parallel tasks executed is based on available resources and settable "throttles". @@ -233,13 +252,13 @@ and settings. execution. These are seldom needed in simple workflows but they enable very dynamic workflow patterns to be specified. -We'll see many of these points in action in the examples below. Lets +We'll see many of these points in action in the examples below. Let's get started! -Part 1: Run a single application under Swift -~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ +Example 1: Run a single application under Swift +~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ -The first swift script, p1.swift, runs simulate.sh to generate a +The first swift script, `p1.swift`, runs `simulate.sh` to generate a single random number. It writes the number to a file. image::part01.png["p1 workflow",align="center"] @@ -267,40 +286,28 @@ $ cat sim.out To cleanup the directory and remove all outputs (including the log files and directories that Swift generates), run the cleanup script -which is located in the tutorial PATH: +which is located in the tutorial `PATH`: ----- $ cleanup ------- - -NOTE: You'll also find a Swift configuration files in each `partNN` -directory of this tutorial. These specify the environment-specific -details of where to find application programs and where to run them . -These files will be explained in more detail in parts 4-6, and can -be ignored for now. - -//// -It defines -things like the work directory, the scheduler to use, and how to -control parallelism. The sites.xml file below will tell Swift to run -on the local machine only, and run just 1 task at a time. - -.swift.properties ------ -sys::[cat ../part01/swift.properties] ----- +//[source,bash] +//----- +//$ cleanup +//----- - In this case, it -indicates that the app "simulate" (the first token in the command line -declaration of the function `simulation`, at line NNN) is located in the file -simulate.sh and (since the path `simulate.sh` is specified with no -directory components) Swift expects that the `simulate.sh` executable -will be available in your $PATH. +[NOTE] +===== +You will find a Swift configuration file `swift.properties` +in each `partNN` directory in the tutorial folder. It defines properties +that control the parallelism involved in the swift execution. It also defines +properties such as the work directory and the scheduler to use. The specifics will +be explained in more detail in the second part of the tutorial, and can be +ignored for now. +===== -//// - -Part 2: Running an ensemble of many apps in parallel with a "foreach" loop -~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ +Example 2: Running an ensemble of many apps in parallel with a "foreach" loop +~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ The `p2.swift` script introduces the `foreach` parallel iteration construct to run many concurrent simulations. @@ -312,28 +319,8 @@ image::part02.png[align="center"] sys::[cat ../part02/p2.swift] ----- -The script also shows an -example of naming the output files of an ensemble run. In this case, the output files will be named -`output/sim_N.out`. - -In part 2, we update the swift.properties file. - -Instead of using shell script (simulate is a link to simulate.sh), we use the equivalent -python version (simulate.py). Swift does not need to know anything about the language an -application is written in. The application can be written in Perl, Python, Java, Fortran, -or any other language. - -The swift.properties file also defines properties that control the parallelism involved -in the swift execution. By setting the tasksPerWorker to the desired number of parallel -application invocations it is possible to take advantage of multiple cores in the -processor. The taskThrottle variable is used to limit number of tasks sent to -workers for execution. Both tasksPerWorker and taskThrottle are set to 2 in the tutorial -and could be set to the number of cores available on your machine. - ------ -sys::[cat ../part02/swift.properties] ------ - +The script also shows an example of naming the output files of an ensemble +run. In this case, the output files will be named `output/sim_N.out`. To run the script and view the output: ----- @@ -351,18 +338,19 @@ output/sim_1.out :::::::::::::: 55 ... + :::::::::::::: output/sim_9.out :::::::::::::: 82 ----- -Part 3: Analyzing results of a parallel ensemble -~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ +Example 3: Analyzing results of a parallel ensemble +~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ After all the parallel simulations in an ensemble run have completed, -its typically necessary to gather and analyze their results with some -kind of post-processing analysis program or script. p3.swift +it is typically necessary to gather and analyze their results with some +kind of post-processing analysis program or script. `p3.swift` introduces such a postprocessing step. In this case, the files created by all of the parallel runs of `simulation.sh` will be averaged by by the trivial "analysis application" `stats.sh`: @@ -401,7 +389,10 @@ int range = toInt(arg("range","100")); int values = toInt(arg("values","5")); ----- -Now we can specify that more runs should be performed and that each should run for more timesteps, and produce more that one value each, within a specified range, using command line arguments placed after the Swift script name in the form `-parameterName=value`: +Now we can specify that more runs should be performed and that each should +run for more timesteps, and produce more that one value each, within a specified +range, using command line arguments placed after the Swift script name in the +form `-parameterName = value`: ----- $ swift p3.swift -nsim=3 -steps=10 -values=4 -range=1000000 @@ -452,43 +443,143 @@ $ swift p3.swift -nsim=100 -steps=1 Swift 0.95 Branch SVN swift-r7903 cog-r3908 RunID: run002 Progress: Tue, 03 Jun 2014 17:08:05-0500 -Progress: Tue, 03 Jun 2014 17:08:06-0500 Selecting site:79 Submitted:20 Active:1 -Progress: Tue, 03 Jun 2014 17:08:07-0500 Selecting site:78 Submitted:18 Active:3 Finished successfully:1 -Progress: Tue, 03 Jun 2014 17:08:08-0500 Selecting site:75 Submitted:17 Active:4 Finished successfully:4 -Progress: Tue, 03 Jun 2014 17:08:09-0500 Selecting site:71 Submitted:16 Active:5 Finished successfully:8 -Progress: Tue, 03 Jun 2014 17:08:11-0500 Selecting site:66 Submitted:15 Active:6 Finished successfully:13 -Progress: Tue, 03 Jun 2014 17:08:12-0500 Selecting site:60 Submitted:14 Active:7 Finished successfully:19 -Progress: Tue, 03 Jun 2014 17:08:13-0500 Selecting site:53 Submitted:13 Active:8 Finished successfully:26 -Progress: Tue, 03 Jun 2014 17:08:14-0500 Selecting site:45 Submitted:12 Active:9 Finished successfully:34 -Progress: Tue, 03 Jun 2014 17:08:15-0500 Selecting site:36 Submitted:11 Active:10 Finished successfully:43 -Progress: Tue, 03 Jun 2014 17:08:16-0500 Selecting site:26 Submitted:10 Active:11 Finished successfully:53 -Progress: Tue, 03 Jun 2014 17:08:17-0500 Selecting site:15 Active:21 Finished successfully:64 +Progress: Tue, 03 Jun 2014 17:08:06-0500 Selecting site:79 Submitted:20 +Active:1 +Progress: Tue, 03 Jun 2014 17:08:07-0500 Selecting site:78 Submitted:18 +Active:3 Finished successfully:1 +Progress: Tue, 03 Jun 2014 17:08:08-0500 Selecting site:75 Submitted:17 +Active:4 Finished successfully:4 +Progress: Tue, 03 Jun 2014 17:08:09-0500 Selecting site:71 Submitted:16 +Active:5 Finished successfully:8 +Progress: Tue, 03 Jun 2014 17:08:11-0500 Selecting site:66 Submitted:15 +Active:6 Finished successfully:13 +Progress: Tue, 03 Jun 2014 17:08:12-0500 Selecting site:60 Submitted:14 +Active:7 Finished successfully:19 +Progress: Tue, 03 Jun 2014 17:08:13-0500 Selecting site:53 Submitted:13 +Active:8 Finished successfully:26 +Progress: Tue, 03 Jun 2014 17:08:14-0500 Selecting site:45 Submitted:12 +Active:9 Finished successfully:34 +Progress: Tue, 03 Jun 2014 17:08:15-0500 Selecting site:36 Submitted:11 +Active:10 Finished successfully:43 +Progress: Tue, 03 Jun 2014 17:08:16-0500 Selecting site:26 Submitted:10 +Active:11 Finished successfully:53 +Progress: Tue, 03 Jun 2014 17:08:17-0500 Selecting site:15 Active:21 +Finished successfully:64 Progress: Tue, 03 Jun 2014 17:08:18-0500 Active:16 Finished successfully:84 Progress: Tue, 03 Jun 2014 17:08:19-0500 Active:11 Finished successfully:89 Final status:Tue, 03 Jun 2014 17:08:19-0500 Finished successfully:101 ----- -Part 4: Specifying more complex workflow patterns -~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ +Now that we've seen how to use Swift to complete jobs for you +on your local machine, we can now proceed to learning how to run +similar jobs on remote machines. + +[big]#*Tutorial Part Two*# +-------------------------- -p4.swift expands the workflow pattern of p3.swift to add additional +When you have access to other resources that you wish to run jobs on, +you can simply state `-site=XX` (where `XX` is the name of the resource) on the command line +following the usual command given to run Swift. With the right configuration +specifications, Swift will automatically connect you to the target machine and +start the jobs there. + +For example, if you are already logged in to a certain machine and you wish to run +jobs locally, you can do: +----- +$ swift p1.swift -site=local +----- +Then Swift will complete the jobs for you on the login node. + +You can use `part01-03` to run the same workflows as in Part One on the local +node as an exercise. We will show more examples for running on remote sites later using +`part04-06`, which introduce how to run more complex jobs as follows. + +[NOTE] +===== +You have to have Swift installed on the local machine to run jobs! See Swift Installation for +instructions. However, you do not need to do the same for the remote sites as Swift will be +automatically carried over. +===== + +Example 4: Specifying more complex workflow patterns +~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ + +`p4.swift` expands the workflow pattern of `p3.swift` to add additional stages to the workflow. Here, we generate a dynamic seed value that -will be used by all of the simulations, and for each simulation, we -run an pre-processing application to generate a unique "bias -file". This pattern is shown below, followed by the Swift script. +will be used by all of the simulations to initialize the random number +generator, so that there are some dependencies to the numbers being generated. +For each simulation, we also run a pre-processing application to generate a unique "bias +file" (Remeber that `(R*scale)+bias`). This pattern is shown below, followed by the Swift script. image::part06.png[align="center"] .p4.swift ---- -sys::[cat ../part04/p4.swift] +type file; + +# Main script and data +file simulate_script <"simulate.sh">; +file stats_script <"stats.sh">; +file seedfile <"output/seed.dat">; # Dynamically generated bias for simulation ensemble + +# app() functions for application programs to be called: + +app (file out) genseed (int nseeds, file seed_script) +{ + bash "simulate.sh" "-r" 2000000 "-n" nseeds stdout=filename(out); +} + +app (file out) genbias (int bias_range, int nvalues, file bias_script) +{ + bash "simulate.sh" "-r" bias_range "-n" nvalues stdout=filename(out); +} + +app (file out, file log) simulation (int timesteps, int sim_range, + file bias_file, int scale, int sim_count, + file sim_script, file seed_file) +{ + bash "simulate.sh" "-t" timesteps "-r" sim_range "-B" filename(bias_file) "-x" scale + "-n" sim_count "-S" filename(seed_file) stdout=filename(out) stderr=filename(log); +} +# Note that we use "bash simulate.sh" here instead of "simulate". This is because "simulate" is no +longer added to the PATH of the remote site and we have to manually execute the bash script. + +app (file out, file log) analyze (file s[], file stat_script) +{ + bash "stats.sh" filenames(s) stdout=filename(out) stderr=filename(log); +} + +# Command line arguments +int nsim = toInt(arg("nsim", "10")); # number of simulation programs to run +int steps = toInt(arg("steps", "1")); # number of timesteps (seconds) per simulation +int range = toInt(arg("range", "100")); # range of the generated random numbers +int values = toInt(arg("values", "10")); # number of values generated per simulation + +tracef("\n*** Script parameters: nsim=%i range=%i num values=%i\n\n", nsim, range, values); +seedfile = genseed(1, simulate_script); # pass the simulate.sh script to the remote site as an argument + +file sims[]; # Array of files to hold each simulation output + +foreach i in [0:nsim-1] { + file biasfile ; + file simout ; + file simlog ; + biasfile = genbias(1000, 20, simulate_script); + (simout,simlog) = simulation(steps, range, biasfile, 1000000, values, simulate_script, seedfile); + sims[i] = simout; +} + +file stats_out<"output/average.out">; +file stats_log<"output/average.log">; +(stats_out,stats_log) = analyze(sims, stats_script); ---- -Note that the workflow is based on data flow dependencies: each simulation depends on the seed value, calculated in this statement: +Note that the workflow is based on data flow dependencies: each simulation +depends on the single seed value, calculated in this statement: ----- seedfile = genseed(1); ----- -and on the bias file, computed and then consumed in these two dependent statements: +The bias file is computed and then consumed in these two dependent statements: ----- biasfile = genbias(1000, 20, simulate_script); (simout,simlog) = simulation(steps, range, biasfile, 1000000, values, simulate_script, seedfile); @@ -557,7 +648,7 @@ total 264 -rw-r--r-- 1 p01532 61532 14675 Aug 27 19:18 average.log ----- -Each sim_N.out file is the sum of its bias file plus newly "simulated" random output scaled by 1,000,000: +Each `sim_N.out` file is the sum of its bias file plus newly "simulated" random output scaled by 1,000,000: ----- $ cat output/bias_0.dat @@ -597,19 +688,58 @@ $ cat output/sim_0.out We produce 20 values in each bias file. Simulations of less than that number of values ignore the unneeded number, while simualtions of more -than 20 will use the last bias number for all remoaining values past +than 20 will use the last bias number for all remaining values past 20. As an exercise, adjust the code to produce the same number of bias values as is needed for each simulation. As a further exercise, modify the script to generate a unique seed value for each simulation, which is a common practice in ensemble computations. -Performing larger Swift runs -~~~~~~~~~~~~~~~~~~~~~~~~~~~~ +If you want to run `p4.swift` on compute nodes instead of the headnode, you can also specify it on the +command line. For example, if you are on Midway, you can do: +----- +$ swift p4.swift -site=midway-compute +----- + + + -To test with larger runs, provide suitable command line arguments. -The example below will run 1000 simulations with each simulation -taking 5 seconds. +//// +It defines +things like the work directory, the scheduler to use, and how to +control parallelism. The sites.xml file below will tell Swift to run +on the local machine only, and run just 1 task at a time. +.swift.properties ----- -$ swift p4.swift -steps=5 -nsim=1000 +sys::[cat ../part01/swift.properties] ----- + + In this case, it +indicates that the app "simulate" (the first token in the command line +declaration of the function `simulation`, at line NNN) is located in the file +simulate.sh and (since the path `simulate.sh` is specified with no +directory components) Swift expects that the `simulate.sh` executable +will be available in your $PATH. + +.apps +----- +sys::[cat ../part01/swift.properties] +----- + +//// + +//// +You will also find a Swift configuration file `swift.properties` +in each `partNN` directory in the tutorial folder. These specify the +environment-specific details of where to find application (file `apps`) +and where to run them (file `sites.xml`). These files will be explained +in more detail in the second part, and can be ignored for now. + +The swift.properties file also defines properties that control the parallelism involved in the swift execution. By setting the tasksPerWorker to the desired number of parallel application invocations it is possible to take advantage of multiple cores in the processor. The taskThrottle variable is used to limit number of tasks sent to workers for execution. Both tasksPerWorker and taskThrottle are set to 2 in the tutorial and could be set to the number of cores available on your machine. + +In part 2, we update the `swift.properties` file. Instead of using +shell script `simulate.sh`, we use the equivalent python version +`simulate.py`. Swift does not need to know anything about the language an +application is written in. The application can be written in Perl, Python, +Java, Fortran, or any other language. (see def in localhost tutorial part2) +//// From 90ce53c3690de967d904874434ee35a10b27ccfe Mon Sep 17 00:00:00 2001 From: Yangxinye Yang Date: Tue, 1 Jul 2014 18:01:43 -0500 Subject: [PATCH 11/34] updating doc --- swift-cloud-tutorial/doc/README | 99 ++++++++++++++++++++++++++++++--- 1 file changed, 92 insertions(+), 7 deletions(-) diff --git a/swift-cloud-tutorial/doc/README b/swift-cloud-tutorial/doc/README index c8aaeaa..250206d 100644 --- a/swift-cloud-tutorial/doc/README +++ b/swift-cloud-tutorial/doc/README @@ -1,5 +1,5 @@ -Swift Tutorial for running everywhere -===================================== +Swift Tutorial +============== This tutorial is viewable at: http://swift-lang.org/tutorials/localhost/tutorial.html [red]## @@ -577,7 +577,7 @@ file stats_log<"output/average.log">; Note that the workflow is based on data flow dependencies: each simulation depends on the single seed value, calculated in this statement: ----- -seedfile = genseed(1); +seedfile = genseed(1, simulate_script); ----- The bias file is computed and then consumed in these two dependent statements: ----- @@ -694,14 +694,101 @@ bias values as is needed for each simulation. As a further exercise, modify the script to generate a unique seed value for each simulation, which is a common practice in ensemble computations. -If you want to run `p4.swift` on compute nodes instead of the headnode, you can also specify it on the -command line. For example, if you are on Midway, you can do: +Running jobs on remote sites +---------------------------- + +If you want to run `p4.swift` on compute nodes instead of on the headnode, you can also specify it on the +command line. For example, if you are on Midway, you can run: ----- $ swift p4.swift -site=midway-compute ----- +All of these names are defined in the Swift's `swift.properties` configuration file. The +file allows many parameters to specify how jobs should be run on a given resource. + +Consider, for example, that Midway has several Slurm partitions. The sandyb partition has 16 +cores, and the westmere partition has 12 cores. Depending on the application and which partitions +are busy, you may want to modify where you run in the `jobQueue` specification: +----- +site.midway-compute { + jobManager=slurm + jobQueue=westmere + tasksPerWorker=4 + initialScore=10000 + filesystem=local + jobproject=pi-wilde + workdir=/scratch/midway/sophiayang/work +} +----- +By setting the tasksPerWorker to the desired number of parallel application +invocations it is possible to take advantage of multiple cores in the processor. +The taskThrottle variable is used to limit number of tasks sent to workers +for execution. Both tasksPerWorker and taskThrottle are set to 2 in the tutorial +and could be set to the number of cores available on your machine. +You should make sure to modify `workdir` to your own directory on the machine. + +You can also execute the jobs remotely from your own machine by setting `jobManager` to the +full path of the scheduler. + +If you run: +----- +$ swift p4.swift -site=midway-remote +----- +Swift will `ssh` to the target site and start the jobs there. + +The `swift.properties` configuration file will therefore look like this: +----- +site.midway-remote { + jobManager=midway.rcc.uchicago.edu:slurm + jobQueue=westmere + tasksPerWorker=12 + initialScore=10000 + filesystem=local + jobproject=pi-wilde + workdir=/scratch/midway/sophiayang/work +} +----- + +With the right specifications, you can define your own site using similar +property settings. Swift will then be able to run anywhere you want. +[NOTE] +===== +Make sure you have passwordless access to the site if you are running from your +own machine to avoid having to enter the password repeatedly. This can be done +by setting your public key on the remote site. +===== + +.Running on mulitple sites +If you want your jobs to run on different sites, you can define where *each* of the +`app`s you used inside your functions comes from. For example: +----- +app.midway.bash=/bin/bash +----- +In this case, it indicates that the app `bash` is located in `/bin/bash` and Swift +will look for such a file on all sites to execute the command. + +For another example, if you define: +----- +app.local.simulate=$PWD/simulate.sh +----- +Here it indicates that the app `simulate` (the first token in the command line declaration of the function +`simulation` in previous examples) is located in the file `simulate.sh` and since the path `simulate.sh` is +specified with no directory components, Swift expectsthat `simulate.sh` executable will be available in +you `PATH`. +.Specifying sites in configuration file + +If you are used to running jobs on a fix combination of site and got tired of +typing the names on the command line, you can also specify them in the +`swift.properties` file by doing `site=XX, XX, ...`. For example: +----- +site=cloud,local +----- +Then you can just run `swift p4.swift` and it will be executed in the according +sites. + +More explanations on setting the configuration file will be in the User Guide. //// It defines @@ -735,8 +822,6 @@ environment-specific details of where to find application (file `apps`) and where to run them (file `sites.xml`). These files will be explained in more detail in the second part, and can be ignored for now. -The swift.properties file also defines properties that control the parallelism involved in the swift execution. By setting the tasksPerWorker to the desired number of parallel application invocations it is possible to take advantage of multiple cores in the processor. The taskThrottle variable is used to limit number of tasks sent to workers for execution. Both tasksPerWorker and taskThrottle are set to 2 in the tutorial and could be set to the number of cores available on your machine. - In part 2, we update the `swift.properties` file. Instead of using shell script `simulate.sh`, we use the equivalent python version `simulate.py`. Swift does not need to know anything about the language an From 6b883b195211cb0b0a2dbde3584ffd723ed18d59 Mon Sep 17 00:00:00 2001 From: Yangxinye Yang Date: Wed, 2 Jul 2014 14:49:12 -0500 Subject: [PATCH 12/34] updating doc --- swift-cloud-tutorial/doc/README | 370 ++++++++++++++++++++------- swift-cloud-tutorial/part05/p5.swift | 2 +- 2 files changed, 279 insertions(+), 93 deletions(-) diff --git a/swift-cloud-tutorial/doc/README b/swift-cloud-tutorial/doc/README index 250206d..fa62eac 100644 --- a/swift-cloud-tutorial/doc/README +++ b/swift-cloud-tutorial/doc/README @@ -187,14 +187,15 @@ $ stats.sh f* 2>log ----- -[big]#*Tutorial Part One*# --------------------------- +*Tutorial Part One* +------------------- This tutorial is only for running on localhost. See Part Two for tutorial on running jobs on remote resources. - +///// Basic of the Swift language with local execution ------------------------------------------------ +///// A Summary of Swift in a nutshell ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ @@ -470,12 +471,12 @@ Progress: Tue, 03 Jun 2014 17:08:19-0500 Active:11 Finished successfully:89 Final status:Tue, 03 Jun 2014 17:08:19-0500 Finished successfully:101 ----- -Now that we've seen how to use Swift to complete jobs for you +Now that we've seen how to use Swift to complete simple jobs for you on your local machine, we can now proceed to learning how to run -similar jobs on remote machines. +similar workflows on remote machines. -[big]#*Tutorial Part Two*# --------------------------- +*Tutorial Part Two* +------------------- When you have access to other resources that you wish to run jobs on, you can simply state `-site=XX` (where `XX` is the name of the resource) on the command line @@ -491,8 +492,8 @@ $ swift p1.swift -site=local Then Swift will complete the jobs for you on the login node. You can use `part01-03` to run the same workflows as in Part One on the local -node as an exercise. We will show more examples for running on remote sites later using -`part04-06`, which introduce how to run more complex jobs as follows. +node as an exercise. You will learn more examples for running on remote sites later using +`part04-06`, which show how to tell Swift to run jobs on other sites in the following section. [NOTE] ===== @@ -501,10 +502,251 @@ instructions. However, you do not need to do the same for the remote sites as Sw automatically carried over. ===== -Example 4: Specifying more complex workflow patterns +Example 4: Running a parallel ensemble on compute nodes +~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ + +`p4.swift` will run our mock "simulation" applications on compute nodes. The script is almost the same +as `p3.swift`, but specifies that each simulation app invocation should additionally return +the log file which the application writes to `stderr`. + +.p4.swift +----- +type file; + +app (file out, file log) simulation (int sim_steps, int sim_range, int sim_values, file sim_script) +{ + bash "simulate.sh" "--timesteps" sim_steps "--range" sim_range "--nvalues" sim_values stdout=filename(out) stderr=filename(log); +} + +app (file out, file log) analyze (file s[], file stat_script) +{ + bash "stats.sh" filenames(s) stdout=filename(out) stderr=filename(log); +} + +int nsim = toInt(arg("nsim", "10")); +int steps = toInt(arg("steps", "1")); +int range = toInt(arg("range", "100")); +int values = toInt(arg("values", "5")); + +file simulate_script <"simulate.sh">; +file stats_script <"stats.sh">; + +file sims[]; + +foreach i in [0:nsim-1] { + file simout ; + file simlog ; + (simout,simlog) = simulation(steps,range,values,simulate_script); + sims[i] = simout; +} + +file stats_out<"output/average.out">; +file stats_log<"output/average.log">; +(stats_out, stats_log) = analyze(sims, stats_script); +----- + +Now when you run `swift p4.swift` you will see that two types of output files will be placed in +the `output/` directory: `sim_N.out` and `sim_N.log`. The log files provide data on the runtime +environment of each app invocation. +//// +For example: +----- +$ cat output/sim_0.log +Called as: /home/davidkelly999/swift-midway-tutorial/app/simulate: --timesteps 1 --range 100 --nvalues 5 + +Start time: Mon Dec 2 12:17:06 CST 2013 +Running as user: uid=88848(davidkelly999) gid=88848(davidkelly999) groups=88848(davidkelly999),10008(rcc),10030(pi-gavoth),10031(sp-swift),10036(swift),10058(pi-joshuaelliott),10084(pi-wilde),10118(cron-account),10124(cmts),10138(cmtsworkshop) +Running on node: midway002 +Node IP address: 10.50.181.2 172.25.181.2 + +Simulation parameters: + +bias=0 +biasfile=none +initseed=none +log=yes +paramfile=none +range=100 +scale=1 +seedfile=none +timesteps=1 +output width=8 + +Environment: + +ANTLR_ROOT=/software/antlr-2.7-el6-x86_64 +ANT_HOME=/software/ant-1.8.4-all +ANT_HOME_modshare=/software/ant-1.8.4-all:3 +... +----- +//// + +Note that in the script we use `bash simulate.sh` and `bash stats.sh` instead of just `simulate` and +`stats`. This is because `simulate` and `stats` are no longer added to the `PATH` on the remote site +and we have to manually give the command to execute the bash script. + +In order to run `p4.swift` on compute nodes instead of on the headnode, you can again specify it on the command +line. For example, if you are on Midway, you can run: +----- +$ swift p4.swift -site=midway-compute +----- + +The site names can be defined in the Swift's `swift.properties` configuration file. The +file allows many parameters to specify how jobs should be run on a given site. + +Consider, for example, that Midway has several Slurm partitions. The sandyb partition has 16 +cores, and the westmere partition has 12 cores. Depending on the application and which partitions +are busy, you may want to modify where you run in the `jobQueue` specification: +----- +site.midway-compute { + jobManager=slurm + jobQueue=westmere + tasksPerWorker=4 + initialScore=10000 + filesystem=local + jobproject=pi-wilde + workdir=/scratch/midway/sophiayang/work +} +----- +By setting the `tasksPerWorker` to the desired number of parallel application +invocations it is possible to take advantage of multiple cores in the processor. +The `taskThrottle` variable is used to limit number of tasks sent to workers +for execution. Both `tasksPerWorker` and `taskThrottle` are set to 2 in the tutorial +and could be set to the number of cores available on your machine. +You should also make sure to change `workdir` to your own directory on the site. + +You can also execute jobs remotely from your own machine by setting `jobManager` to the +full path of the scheduler. + +For example, if you run: +----- +$ swift p4.swift -site=midway-remote +----- +Swift will `ssh` to the target site and start the jobs there. + +`swift.properties` will therefore look like this: +----- +site.midway-remote { + jobManager=midway.rcc.uchicago.edu:slurm + jobQueue=westmere + tasksPerWorker=12 + initialScore=10000 + filesystem=local + jobproject=pi-wilde + workdir=/scratch/midway/sophiayang/work +} +----- + +With the right specifications, you can define your own site using similar +property settings. Swift will then be able to run anywhere you want. + +More explanations on setting the configuration file will be found in the User Guide. + +[NOTE] +===== +If you are running from your own machine, make sure you have passphraseless accesses to all sites +to ensure a smooth workflow. This can be done by identifying yourself with +your public key on all remote sites. +===== + +Example 5: Controlling the compute-node pools where applications run +~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ +`p5.swift` is exactly the same as `p4.swift` with one exception: `stats.sh` is executed +using `sh` instead of `bash` in the `analyze` application. + +.p5.swift +----- +type file; + +app (file out, file log) simulation (int sim_steps, int sim_range, int sim_values, file sim_script) +{ + bash "simulate.sh" "--timesteps" sim_steps "--range" sim_range "--nvalues" sim_values stdout=@out stderr=@log; +} + +app (file out, file log) analyze (file s[], file stat_script) +{ + sh "stats.sh" filenames(s) stdout=filename(out) stderr=filename(log); +} + +int nsim = toInt(arg("nsim", "10")); +int steps = toInt(arg("steps", "1")); +int range = toInt(arg("range", "100")); +int values = toInt(arg("values", "5")); + +file sims[]; +file simulate_script <"simulate.sh">; +file stats_script <"stats.sh">; + +foreach i in [0:nsim-1] { + file simout ; + file simlog ; + (simout,simlog) = simulation(steps,range,values,simulate_script); + sims[i] = simout; +} + +file stats_out<"output/average.out">; +file stats_log<"output/average.log">; +(stats_out, stats_log) = analyze(sims,stats_script); +----- + +This modification can be used to control where you run your applications. Right now Swift will +execute each of the `apps` on all sites where it is able to be located in `$PATH`. Therefore, +in order to give instructions on where to run each application, you must define *each* of the `app` +you used inside your application declaration in `swift.properties`. For example: + +.Definition for app simulation +----- +app.midway.bash=/bin/bash +----- +It indicates that the app `bash` is located in `/bin/bash` and Swift +will look for such a file on a site named `midway` to execute the `bash` commands. + +.Definition for app analyze +----- +app.local.analyze=/bin/sh +----- +Similarly in this case, Swift will look for `/bin/sh` locally to execute the `analyze` application. + +For another example, for `p1.swift`: +----- +type file; + +app (file o) simulation () +{ + simulate stdout=filename(o); +} + +file f <"sim.out">; +f = simulation(); +----- + +If you define `app simulate` like this: +----- +app.local.simulate=$PWD/simulate.sh +----- +It indicates that the app `simulate` is located in the file `simulate.sh` and since +the path `simulate.sh` is specified with no directory components, Swift expects that +`simulate.sh` executable will be available in your `$PATH`. + +.Specifying sites in configuration file +If you are used to running jobs on a fixed combination of sites and don't want to type +out the names every single time, you can also specify them in `swift.properties` +by doing `site=XX, XX, ...` For example, instead of running: +----- +$ swift p5.swift -site=midway-remote,local +----- +You can just put this in `swift.properties': +----- +site=midway-remote,local +----- +Then after you have defined *all* your `apps` in the configuration file as well, +when you run `swift p5.swift` Swift will execute each of the `app` on the +corresponding site you specified. + +Example 6: Specifying more complex workflow patterns ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ -`p4.swift` expands the workflow pattern of `p3.swift` to add additional +`p6.swift` expands the workflow pattern of `p5.swift` to add additional stages to the workflow. Here, we generate a dynamic seed value that will be used by all of the simulations to initialize the random number generator, so that there are some dependencies to the numbers being generated. @@ -513,7 +755,7 @@ file" (Remeber that `(R*scale)+bias`). This pattern is shown below, followed by image::part06.png[align="center"] -.p4.swift +.p6.swift ---- type file; @@ -541,8 +783,6 @@ app (file out, file log) simulation (int timesteps, int sim_range, bash "simulate.sh" "-t" timesteps "-r" sim_range "-B" filename(bias_file) "-x" scale "-n" sim_count "-S" filename(seed_file) stdout=filename(out) stderr=filename(log); } -# Note that we use "bash simulate.sh" here instead of "simulate". This is because "simulate" is no -longer added to the PATH of the remote site and we have to manually execute the bash script. app (file out, file log) analyze (file s[], file stat_script) { @@ -587,14 +827,14 @@ The bias file is computed and then consumed in these two dependent statements: To run: ---- -$ cd ../part04 -$ swift p4.swift +$ cd ../part06 +$ swift p6.swift ---- The default parameters result in the following execution log: ----- -$ swift p4.swift +$ swift p6.swift Swift 0.95 Branch SVN swift-r7903 cog-r3908 RunID: run001 Progress: Thu, 05 Jun 2014 06:01:36-0500 @@ -694,101 +934,47 @@ bias values as is needed for each simulation. As a further exercise, modify the script to generate a unique seed value for each simulation, which is a common practice in ensemble computations. -Running jobs on remote sites ----------------------------- - -If you want to run `p4.swift` on compute nodes instead of on the headnode, you can also specify it on the -command line. For example, if you are on Midway, you can run: ------ -$ swift p4.swift -site=midway-compute ------ - -All of these names are defined in the Swift's `swift.properties` configuration file. The -file allows many parameters to specify how jobs should be run on a given resource. - -Consider, for example, that Midway has several Slurm partitions. The sandyb partition has 16 -cores, and the westmere partition has 12 cores. Depending on the application and which partitions -are busy, you may want to modify where you run in the `jobQueue` specification: +.Running on mulitple sites +If you want your jobs to run on different sites, you can define in `swift.properties` where *each* of the +`apps` you used inside your function declarations comes from. For example: ----- -site.midway-compute { - jobManager=slurm - jobQueue=westmere - tasksPerWorker=4 - initialScore=10000 - filesystem=local - jobproject=pi-wilde - workdir=/scratch/midway/sophiayang/work -} +app.midway.bash=/bin/bash ----- -By setting the tasksPerWorker to the desired number of parallel application -invocations it is possible to take advantage of multiple cores in the processor. -The taskThrottle variable is used to limit number of tasks sent to workers -for execution. Both tasksPerWorker and taskThrottle are set to 2 in the tutorial -and could be set to the number of cores available on your machine. -You should make sure to modify `workdir` to your own directory on the machine. -You can also execute the jobs remotely from your own machine by setting `jobManager` to the -full path of the scheduler. - -If you run: ------ -$ swift p4.swift -site=midway-remote +For another example, for `p1.swift`: ----- -Swift will `ssh` to the target site and start the jobs there. +type file; -The `swift.properties` configuration file will therefore look like this: ------ -site.midway-remote { - jobManager=midway.rcc.uchicago.edu:slurm - jobQueue=westmere - tasksPerWorker=12 - initialScore=10000 - filesystem=local - jobproject=pi-wilde - workdir=/scratch/midway/sophiayang/work +app (file o) simulation () +{ + *simulate* stdout=filename(o); } ------ -With the right specifications, you can define your own site using similar -property settings. Swift will then be able to run anywhere you want. - -[NOTE] -===== -Make sure you have passwordless access to the site if you are running from your -own machine to avoid having to enter the password repeatedly. This can be done -by setting your public key on the remote site. -===== - -.Running on mulitple sites -If you want your jobs to run on different sites, you can define where *each* of the -`app`s you used inside your functions comes from. For example: +file f <"sim.out">; +f = simulation(); ----- -app.midway.bash=/bin/bash ------ -In this case, it indicates that the app `bash` is located in `/bin/bash` and Swift -will look for such a file on all sites to execute the command. - -For another example, if you define: +If you define `app simulate` like this: ----- app.local.simulate=$PWD/simulate.sh ----- -Here it indicates that the app `simulate` (the first token in the command line declaration of the function +It indicates that the app `simulate` (the first token in the command line declaration of the function `simulation` in previous examples) is located in the file `simulate.sh` and since the path `simulate.sh` is -specified with no directory components, Swift expectsthat `simulate.sh` executable will be available in -you `PATH`. +specified with no directory components, Swift expects that `simulate.sh` executable will be available in +your `$PATH`. .Specifying sites in configuration file -If you are used to running jobs on a fix combination of site and got tired of +If you are used to running jobs on a fixed combination of sites and got tired of typing the names on the command line, you can also specify them in the -`swift.properties` file by doing `site=XX, XX, ...`. For example: +`swift.properties` file by doing `site=XX, XX, ...` For example: ----- site=cloud,local ----- -Then you can just run `swift p4.swift` and it will be executed in the according -sites. +If you have defined *all* your `apps` in the configuration file, Swift will execute +each of the `app` on the corresponding site you specified. Otherwise, it will run the jobs +on all sites where a certain `app` can be located. + -More explanations on setting the configuration file will be in the User Guide. //// It defines diff --git a/swift-cloud-tutorial/part05/p5.swift b/swift-cloud-tutorial/part05/p5.swift index 8aacb85..c87701e 100644 --- a/swift-cloud-tutorial/part05/p5.swift +++ b/swift-cloud-tutorial/part05/p5.swift @@ -2,7 +2,7 @@ type file; app (file out, file log) simulation (int sim_steps, int sim_range, int sim_values, file sim_script) { - sh "simulate.sh" "--timesteps" sim_steps "--range" sim_range "--nvalues" sim_values stdout=@out stderr=@log; + bash "simulate.sh" "--timesteps" sim_steps "--range" sim_range "--nvalues" sim_values stdout=@out stderr=@log; } app (file out, file log) analyze (file s[], file stat_script) From 762924140e329cbc2df3d23efb9390e328486d1f Mon Sep 17 00:00:00 2001 From: Yangxinye Yang Date: Wed, 2 Jul 2014 14:54:16 -0500 Subject: [PATCH 13/34] updating doc --- swift-cloud-tutorial/doc/README | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/swift-cloud-tutorial/doc/README b/swift-cloud-tutorial/doc/README index fa62eac..e92a4e3 100644 --- a/swift-cloud-tutorial/doc/README +++ b/swift-cloud-tutorial/doc/README @@ -735,7 +735,7 @@ by doing `site=XX, XX, ...` For example, instead of running: ----- $ swift p5.swift -site=midway-remote,local ----- -You can just put this in `swift.properties': +You can just say this in `swift.properties`: ----- site=midway-remote,local ----- From 64a53879e1c8aafdf140ef451e664f969aaea698 Mon Sep 17 00:00:00 2001 From: Yangxinye Yang Date: Wed, 2 Jul 2014 16:15:10 -0500 Subject: [PATCH 14/34] updating doc --- swift-cloud-tutorial/doc/README | 158 ++++++++++++++------------------ 1 file changed, 70 insertions(+), 88 deletions(-) diff --git a/swift-cloud-tutorial/doc/README b/swift-cloud-tutorial/doc/README index e92a4e3..714beb1 100644 --- a/swift-cloud-tutorial/doc/README +++ b/swift-cloud-tutorial/doc/README @@ -2,7 +2,7 @@ Swift Tutorial ============== This tutorial is viewable at: -http://swift-lang.org/tutorials/localhost/tutorial.html [red]## +http://swift-lang.org/tutorials/localhost/tutorial.html [red]## Introduction: Why Parallel Scripting? @@ -26,10 +26,15 @@ clusters, clouds, grids, and supercomputers. This tutorial contains *two parts*. In the first part you will be able to try a few Swift examples on your local machine, to get a sense of the language. Then in the second part you will run similar workflows on remote resources such as Midway, -distributed OSG Connect resources, Cray, etc., both locally on those machines and -on your own machine by connecting to them remotely. You will thus see how more +distributed OSG Connect resources, Cray, etc., and learn how to instruct Swift to run +jobs in different places. You will also see how more complex workflows can be expressed with Swift scripts. +//// +both locally on those machines and +on your own machine by connecting to them remotely. +//// + Swift installation ------------------ 1. Download the file by running "wget http://swiftlang.org/packages/swift-0.95-RC6.tar.gz" @@ -38,23 +43,30 @@ Swift installation Tutorial scripts installation ----------------------------- -Run the following commands to extract these tutorial scripts. [red]## +Run the following commands to extract these tutorial scripts. [red]## ----- +wget https://github.com/yadudoc/swift-on-cloud/archive/master.zip +unzip master.zip +mv swift-on-cloud-master swift-on-cloud +cd swift-on-cloud +----- +//// $ cd $HOME $ wget http://swiftlang.org/tutorials/midway/swift-midway-tutorial.tar.gz $ tar xvfz swift-midway-tutorial.tar.gz $ cd swift-midway-tutorial ------ +//// Run the tutorial setup script ----- $ source setup.sh # You must run this with "source" ! ----- Doing this will add the sample applications `simulate` and `stats` (explained in the next part) and -certain other functionalities to your local `PATH` for you to run the tutorial. +some other functionalities to your local `PATH` for you to run the tutorial. -In the tutorial directory you will find some `partNN` folders. `part01` to `part03` folders contain +In the tutorial directory you will find six `partNN` folders. Each part contains one Swift example for the +workflow tutorial. `part01` to `part03` contain Swift scripts for running jobs locally. `part04` to `part06` contain scripts for running jobs on remote resources that you have access to, with corresponding configurations. Further explanations on these will be in Part Two of this tutorial. @@ -65,15 +77,15 @@ If you later want to get the most recent version of this tutorial from the Swift Subversion repository, do: ----- -$ svn co https://svn.ci.uchicago.edu/svn/vdl2/SwiftTutorials/swift-localhost-tutorial +$ svn co https://svn.ci.uchicago.edu/svn/vdl2/SwiftTutorials/swift-localhost-tutorial ----- This will create a directory called "swift-localhost-tutorial" which contains all of the files -used in this tutorial. +used in this tutorial. [red]## .Verify your environment -To verify that Swift has successfully loaded, do: +To verify that Swift has successfully loaded, run: ----- $ swift -version # verify that you have Swift 0.95 RC6 ----- @@ -286,8 +298,8 @@ $ cat sim.out ----- To cleanup the directory and remove all outputs (including the log -files and directories that Swift generates), run the cleanup script -which is located in the tutorial `PATH`: +files and directories that Swift generates), run the `cleanup` script +which is located in the tutorial `$PATH`: ----- $ cleanup @@ -492,13 +504,13 @@ $ swift p1.swift -site=local Then Swift will complete the jobs for you on the login node. You can use `part01-03` to run the same workflows as in Part One on the local -node as an exercise. You will learn more examples for running on remote sites later using -`part04-06`, which show how to tell Swift to run jobs on other sites in the following section. +node as an exercise. You will learn more examples for running on remote sites using +`part04-06` introduced in the following section. [NOTE] ===== -You have to have Swift installed on the local machine to run jobs! See Swift Installation for -instructions. However, you do not need to do the same for the remote sites as Swift will be +You have to have Swift installed on the headnode to run jobs! See Swift Installation for +instructions. However, you do not need to do the same for the remote sites as Swift service will be automatically carried over. ===== @@ -506,7 +518,7 @@ Example 4: Running a parallel ensemble on compute nodes ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ `p4.swift` will run our mock "simulation" applications on compute nodes. The script is almost the same -as `p3.swift`, but specifies that each simulation app invocation should additionally return +as `p3.swift`, but specifies that each `simulation` app invocation should additionally return the log file which the application writes to `stderr`. .p4.swift @@ -581,8 +593,8 @@ ANT_HOME_modshare=/software/ant-1.8.4-all:3 ----- //// -Note that in the script we use `bash simulate.sh` and `bash stats.sh` instead of just `simulate` and -`stats`. This is because `simulate` and `stats` are no longer added to the `PATH` on the remote site +Note that in the script we use `bash` to invoke `simulate.sh` and `stats.sh` instead of just using `simulate` and +`stats`. This is because `simulate` and `stats` are no longer added to the `$PATH` on the remote site and we have to manually give the command to execute the bash script. In order to run `p4.swift` on compute nodes instead of on the headnode, you can again specify it on the command @@ -644,7 +656,7 @@ More explanations on setting the configuration file will be found in the User Gu [NOTE] ===== -If you are running from your own machine, make sure you have passphraseless accesses to all sites +Make sure you have passphraseless accesses to all sites to ensure a smooth workflow. This can be done by identifying yourself with your public key on all remote sites. ===== @@ -690,24 +702,25 @@ file stats_log<"output/average.log">; ----- This modification can be used to control where you run your applications. Right now Swift will -execute each of the `apps` on all sites where it is able to be located in `$PATH`. Therefore, -in order to give instructions on where to run each application, you must define *each* of the `app` -you used inside your application declaration in `swift.properties`. For example: +execute each of the `apps` on every site where it is able to be located in `$PATH`. Therefore, +in order to give instructions on where to run each application, you need to define *each* of the `apps` +you used inside your application declarations in `swift.properties`. For example in this case: -.Definition for app simulation +.Definition for app `simulation` ----- app.midway.bash=/bin/bash ----- It indicates that the app `bash` is located in `/bin/bash` and Swift -will look for such a file on a site named `midway` to execute the `bash` commands. +will look for such a file on a site named `midway` to run the `simulation` application. -.Definition for app analyze +.Definition for app `analyze` ----- app.local.analyze=/bin/sh ----- -Similarly in this case, Swift will look for `/bin/sh` locally to execute the `analyze` application. +Similarly, Swift will look for `/bin/sh` locally to execute the `analyze` application. + -For another example, for `p1.swift`: +For another example, let us take another look at `p1.swift`: ----- type file; @@ -720,7 +733,7 @@ file f <"sim.out">; f = simulation(); ----- -If you define `app simulate` like this: +If you define app `simulate` like this: ----- app.local.simulate=$PWD/simulate.sh ----- @@ -739,9 +752,9 @@ You can just say this in `swift.properties`: ----- site=midway-remote,local ----- -Then after you have defined *all* your `apps` in the configuration file as well, -when you run `swift p5.swift` Swift will execute each of the `app` on the -corresponding site you specified. +Then if you have defined *all* your `apps` in the configuration file correctly, +when you run `swift p5.swift` Swift will execute each of the `apps` on the +corresponding site that you specified. Example 6: Specifying more complex workflow patterns ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ @@ -751,7 +764,7 @@ stages to the workflow. Here, we generate a dynamic seed value that will be used by all of the simulations to initialize the random number generator, so that there are some dependencies to the numbers being generated. For each simulation, we also run a pre-processing application to generate a unique "bias -file" (Remeber that `(R*scale)+bias`). This pattern is shown below, followed by the Swift script. +file" (Remeber the form `(R*scale)+bias`). This pattern is shown below, followed by the Swift script. image::part06.png[align="center"] @@ -764,8 +777,6 @@ file simulate_script <"simulate.sh">; file stats_script <"stats.sh">; file seedfile <"output/seed.dat">; # Dynamically generated bias for simulation ensemble -# app() functions for application programs to be called: - app (file out) genseed (int nseeds, file seed_script) { bash "simulate.sh" "-r" 2000000 "-n" nseeds stdout=filename(out); @@ -934,72 +945,43 @@ bias values as is needed for each simulation. As a further exercise, modify the script to generate a unique seed value for each simulation, which is a common practice in ensemble computations. -.Running on mulitple sites -If you want your jobs to run on different sites, you can define in `swift.properties` where *each* of the -`apps` you used inside your function declarations comes from. For example: +Performing larger Swift runs and Plotting run activities +~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ +To test with larger runs, you can change the command line arguments. The +example below will run 1000 simulations with each simulation taking 5 seconds: ----- -app.midway.bash=/bin/bash +$ swift p6.swift -steps=5 -nsim=1000 ----- -For another example, for `p1.swift`: ------ -type file; +The tutorial `bin` directory in your `$PATH` provides a script +`plot.sh` to plot the progress of a Swift script. It generates two +image files: `activeplot.png`, which shows the number of active jobs +over time, and `cumulativeplot.png`, which shows the total number of +app calls completed as the Swift script progresses. -app (file o) simulation () -{ - *simulate* stdout=filename(o); -} +After each Swift run, a new run directory is created called `runNNN`. +Each run directory will have a log file with a similar name called +`runNNN.log`. Once you have identified the log file name, run the +command `plot.sh ` to generate the plots for that +specific run. For example: -file f <"sim.out">; -f = simulation(); ------ -If you define `app simulate` like this: ------ -app.local.simulate=$PWD/simulate.sh ----- -It indicates that the app `simulate` (the first token in the command line declaration of the function -`simulation` in previous examples) is located in the file `simulate.sh` and since the path `simulate.sh` is -specified with no directory components, Swift expects that `simulate.sh` executable will be available in -your `$PATH`. +$ ls +output p3.swift run000 swift.properties -.Specifying sites in configuration file - -If you are used to running jobs on a fixed combination of sites and got tired of -typing the names on the command line, you can also specify them in the -`swift.properties` file by doing `site=XX, XX, ...` For example: ------ -site=cloud,local ------ -If you have defined *all* your `apps` in the configuration file, Swift will execute -each of the `app` on the corresponding site you specified. Otherwise, it will run the jobs -on all sites where a certain `app` can be located. +$ cd run000/ +$ ls +apps cf p3-20131202-2004-0kh4ha6e.d run000.log sites.xml - -//// -It defines -things like the work directory, the scheduler to use, and how to -control parallelism. The sites.xml file below will tell Swift to run -on the local machine only, and run just 1 task at a time. - -.swift.properties ------ -sys::[cat ../part01/swift.properties] +$ plot.sh run000.log ----- - In this case, it -indicates that the app "simulate" (the first token in the command line -declaration of the function `simulation`, at line NNN) is located in the file -simulate.sh and (since the path `simulate.sh` is specified with no -directory components) Swift expects that the `simulate.sh` executable -will be available in your $PATH. +This can thus yield plots like the following: -.apps ------ -sys::[cat ../part01/swift.properties] ------ +image::activeplot.png[width=700,align=center] +image::cumulativeplot.png[width=700,align=center] -//// //// You will also find a Swift configuration file `swift.properties` From 1da3cff299692027e8e8fb1ec677bee970ef1e2f Mon Sep 17 00:00:00 2001 From: Yangxinye Yang Date: Wed, 2 Jul 2014 16:40:43 -0500 Subject: [PATCH 15/34] adding html --- swift-cloud-tutorial/doc/README | 6 +- swift-cloud-tutorial/doc/README.html | 1765 ++++++++++++++++++++++++++ 2 files changed, 1768 insertions(+), 3 deletions(-) create mode 100644 swift-cloud-tutorial/doc/README.html diff --git a/swift-cloud-tutorial/doc/README b/swift-cloud-tutorial/doc/README index 714beb1..0021a3e 100644 --- a/swift-cloud-tutorial/doc/README +++ b/swift-cloud-tutorial/doc/README @@ -63,10 +63,10 @@ Run the tutorial setup script $ source setup.sh # You must run this with "source" ! ----- Doing this will add the sample applications `simulate` and `stats` (explained in the next part) and -some other functionalities to your local `PATH` for you to run the tutorial. +some other functionalities to your local `$PATH` for you to run the tutorial. -In the tutorial directory you will find six `partNN` folders. Each part contains one Swift example for the -workflow tutorial. `part01` to `part03` contain +In the tutorial directory you will find six `partNN` folders. Each part contains one Swift example that serves to +demonstrate different functions for the workflow tutorial. `part01` to `part03` contain Swift scripts for running jobs locally. `part04` to `part06` contain scripts for running jobs on remote resources that you have access to, with corresponding configurations. Further explanations on these will be in Part Two of this tutorial. diff --git a/swift-cloud-tutorial/doc/README.html b/swift-cloud-tutorial/doc/README.html new file mode 100644 index 0000000..cea4d97 --- /dev/null +++ b/swift-cloud-tutorial/doc/README.html @@ -0,0 +1,1765 @@ + + + + + +Swift Tutorial + + + + + +
+
+
+

This tutorial is viewable at: +http://swift-lang.org/tutorials/localhost/tutorial.html <fix>

+
+
+
+

Introduction: Why Parallel Scripting?

+
+

Swift is a simple scripting language for executing many instances of +ordinary application programs on distributed parallel resources. +Swift scripts run many copies of ordinary programs concurrently, using +statements like this:

+
+
+
foreach protein in proteinList {
+  runBLAST(protein);
+}
+
+

Swift acts like a structured "shell" language. It runs programs +concurrently as soon as their inputs are available, reducing the need +for complex parallel programming. Swift expresses your workflow in a +portable fashion: The same script runs on multicore computers, +clusters, clouds, grids, and supercomputers.

+

This tutorial contains two parts. In the first part you will be able to try a few +Swift examples on your local machine, to get a sense of the language. Then in the +second part you will run similar workflows on remote resources such as Midway, +distributed OSG Connect resources, Cray, etc., and learn how to instruct Swift to run +jobs in different places. You will also see how more +complex workflows can be expressed with Swift scripts.

+
+
+
+

Swift installation

+
+
    +
  1. +

    +Download the file by running "wget http://swiftlang.org/packages/swift-0.95-RC6.tar.gz" +

    +
    2. +
  2. +

    +Extract by running "tar xfz swift-0.95-RC6.tar.gz" +

    +
    3. +
  3. +

    +Add to PATH by running "export PATH=$PATH:/path/to/swift-0.95-RC6/bin" +

    +
    4. +
+
+
+
+

Tutorial scripts installation

+
+

Run the following commands to extract these tutorial scripts. <fix?>

+
+
+
wget https://github.com/yadudoc/swift-on-cloud/archive/master.zip
+unzip master.zip
+mv swift-on-cloud-master swift-on-cloud
+cd swift-on-cloud
+
+

Run the tutorial setup script

+
+
+
$ source setup.sh   # You must run this with "source" !
+
+

Doing this will add the sample applications simulate and stats (explained in the next part) and +some other functionalities to your local $PATH for you to run the tutorial.

+

In the tutorial directory you will find six partNN folders. Each part contains one Swift example that serves to +demonstrate different functions for the workflow tutorial. part01 to part03 contain +Swift scripts for running jobs locally. part04 to part06 contain scripts for running jobs on remote +resources that you have access to, with corresponding configurations. Further explanations on these will +be in Part Two of this tutorial.

+
To check out the tutorial scripts from SVN

If you later want to get the most recent version of this tutorial from +the Swift Subversion repository, do:

+
+
+
$ svn co https://svn.ci.uchicago.edu/svn/vdl2/SwiftTutorials/swift-localhost-tutorial  <fix>
+
+

This will create a directory called "swift-localhost-tutorial" which contains all of the files +used in this tutorial. <fix name>

+
Verify your environment

To verify that Swift has successfully loaded, run:

+
+
+
$ swift -version # verify that you have Swift 0.95 RC6
+
+
+
+
+

Simple sample "science applications" for the workflow tutorial

+
+

This tutorial is based on two intentionally trivial example programs, +simulation.sh and stats.sh, (implemented as bash shell scripts) +that serve as easy-to-understand proxies for real science +applications. These "programs" behave as follows.

+
+

simulate.sh

+

The simulation.sh script serves as a trivial proxy for any more +complex scientific simulation application. It generates and prints a +set of one or more random integers in the range [0-2^62) as controlled +by its command line arguments, which are:

+
+
+
$ ./app/simulate.sh --help
+./app/simulate.sh: usage:
+    -b|--bias       offset bias: add this integer to all results [0]
+    -B|--biasfile   file of integer biases to add to results [none]
+    -l|--log        generate a log in stderr if not null [y]
+    -n|--nvalues    print this many values per simulation [1]
+    -r|--range      range (limit) of generated results [100]
+    -s|--seed       use this integer [0..32767] as a seed [none]
+    -S|--seedfile   use this file (containing integer seeds [0..32767]) one per line [none]
+    -t|--timesteps  number of simulated "timesteps" in seconds (determines runtime) [1]
+    -x|--scale      scale the results by this integer [1]
+    -h|-?|?|--help  print this help
+$
+
+

All of thess arguments are optional, with default values indicated above as [n].

+

When running with no arguments, simulate.sh prints 1 number in the range of +1-100. Otherwise it generates n numbers of the form (R*scale)+bias +where R is the random integer being produced. By default it logs information about its +execution environment to stderr. Here are some examples of its usage:

+
+
+
$ simulate.sh 2>log
+       5
+$ head -4 log
+
+Called as: /home/wilde/swift/tut/CIC_2013-08-09/app/simulate.sh:
+Start time: Thu Aug 22 12:40:24 CDT 2013
+Running on node: login01.osgconnect.net
+
+$ simulate.sh -n 4 -r 1000000 2>log
+  239454
+  386702
+   13849
+  873526
+
+$ simulate.sh -n 3 -r 1000000 -x 100 2>log
+ 6643700
+62182300
+ 5230600
+
+$ simulate.sh -n 2 -r 1000 -x 1000 2>log
+  565000
+  636000
+
+$ time simulate.sh -n 2 -r 1000 -x 1000 -t 3 2>log
+  336000
+  320000
+real    0m3.012s
+user    0m0.005s
+sys     0m0.006s
+
+
+
+

stats.sh

+

The stats.sh script serves as a trivial model of an "analysis" +program. It reads N files each containing M integers and simply prints +the average of all those numbers to stdout. Similarly to simulate.sh +it logs environmental information to the stderr. After you redirect the +outputs of simulate.sh to files, you can do:

+
+
+
$ ls f*
+f1  f2  f3  f4
+
+$ cat f*
+25
+60
+40
+75
+
+$ stats.sh f* 2>log
+50
+
+
+
+
+
+

Tutorial Part One

+
+

This tutorial is only for running on localhost. See Part Two for tutorial on running jobs on +remote resources.

+
+

A Summary of Swift in a nutshell

+
    +
  • +

    +Swift scripts are text files ending in .swift The swift command +runs on any host, and executes these scripts. swift is a Java +application, which you can install almost anywhere. On Linux, just +unpack the distribution tar file and add its bin/ directory to +your PATH. +

    +
    • +
  • +

    +Swift scripts run ordinary applications, just like shell scripts +do. Swift makes it easy to run these applications on parallel and +remote computers (from laptops to supercomputers). If you can ssh to +the system, Swift can likely run applications there. +

    +
    • +
  • +

    +The details of where to run applications and how to get files back +and forth are described in configuration files separate from your +program. Swift speaks ssh, PBS, Condor, SLURM, LSF, SGE, Cobalt, and +Globus to run applications, and scp, http, ftp, and GridFTP to move +data. +

    +
    • +
  • +

    +The Swift language has 5 main data types: boolean, int, +string, float, and file. Collections of these are dynamic, +sparse arrays of arbitrary dimension and structures of scalars and/or +arrays defined by the type declaration. +

    +
    • +
  • +

    +Swift file variables are "mapped" to external files. Swift sends +files to and from remote systems for you automatically. +

    +
    • +
  • +

    +Swift variables are "single assignment": once you set them you can’t +change them (in a given block of code). This makes Swift a natural, +"parallel data flow" language. This programming model keeps your +workflow scripts simple and easy to write and understand. +

    +
    • +
  • +

    +Swift lets you define functions to "wrap" application programs, and +to cleanly structure more complex scripts. Swift app functions take +files and parameters as inputs and return files as outputs. +

    +
    • +
  • +

    +A compact set of built-in functions for string and file +manipulation, type conversions, high level IO, etc. is provided. +Swift’s equivalent of printf() is tracef(), with limited and +slightly different format codes. +

    +
    • +
  • +

    +Swift’s foreach{} statement is the main parallel workhorse of the +language, and executes all iterations of the loop concurrently. The +actual number of parallel tasks executed is based on available +resources and settable "throttles". +

    +
    • +
  • +

    +In fact, Swift conceptually executes all the statements, +expressions and function calls in your program in parallel, based on +data flow. These are similarly throttled based on available resources +and settings. +

    +
    • +
  • +

    +Swift also has if and switch statements for conditional +execution. These are seldom needed in simple workflows but they enable +very dynamic workflow patterns to be specified. +

    +
    • +
+

We’ll see many of these points in action in the examples below. Let’s +get started!

+
+
+

Example 1: Run a single application under Swift

+

The first swift script, p1.swift, runs simulate.sh to generate a +single random number. It writes the number to a file.

+
+
+p1 workflow +
+
+
+
p1.swift
+
+
type file;
+
+app (file o) simulation ()
+{
+  simulate stdout=filename(o);
+}
+
+file f <"sim.out">;
+f = simulation();
+
+

To run this script, run the following command:

+
+
+
$ cd part01
+$ swift p1.swift
+Swift 0.95 Branch SVN swift-r7903 cog-r3908
+RunID: run001
+Progress: Tue, 03 Jun 2014 15:01:28-0500
+Final status:Tue, 03 Jun 2014 15:01:29-0500  Finished successfully:1
+$ cat sim.out
+      84
+$ swift p1.swift
+$ cat sim.out
+      36
+
+

To cleanup the directory and remove all outputs (including the log +files and directories that Swift generates), run the cleanup script +which is located in the tutorial $PATH:

+
+
+
$ cleanup
+
+
+ + + +
+Note + +

You will find a Swift configuration file swift.properties +in each partNN directory in the tutorial folder. It defines properties +that control the parallelism involved in the swift execution. It also defines +properties such as the work directory and the scheduler to use. The specifics will +be explained in more detail in the second part of the tutorial, and can be +ignored for now.

+
+
+
+
+

Example 2: Running an ensemble of many apps in parallel with a "foreach" loop

+

The p2.swift script introduces the foreach parallel iteration +construct to run many concurrent simulations.

+
+
+part02.png +
+
+
+
p2.swift
+
+
type file;
+
+app (file o) simulation ()
+{
+  simulate stdout=filename(o);
+}
+
+foreach i in [0:9] {
+  file f <single_file_mapper; file=strcat("output/sim_",i,".out")>;
+  f = simulation();
+}
+
+

The script also shows an example of naming the output files of an ensemble +run. In this case, the output files will be named output/sim_N.out.

+

To run the script and view the output:

+
+
+
$ cd ../part02
+$ swift p2.swift
+$ ls output
+sim_0.out  sim_1.out  sim_2.out  sim_3.out  sim_4.out  sim_5.out  sim_6.out  sim_7.out  sim_8.out  sim_9.out
+$ more output/*
+::::::::::::::
+output/sim_0.out
+::::::::::::::
+      44
+::::::::::::::
+output/sim_1.out
+::::::::::::::
+      55
+...
+
+::::::::::::::
+output/sim_9.out
+::::::::::::::
+      82
+
+
+
+

Example 3: Analyzing results of a parallel ensemble

+

After all the parallel simulations in an ensemble run have completed, +it is typically necessary to gather and analyze their results with some +kind of post-processing analysis program or script. p3.swift +introduces such a postprocessing step. In this case, the files created +by all of the parallel runs of simulation.sh will be averaged by by +the trivial "analysis application" stats.sh:

+
+
+part03.png +
+
+
+
p3.swift
+
+
type file;
+
+app (file o) simulation (int sim_steps, int sim_range, int sim_values)
+{
+  simulate "--timesteps" sim_steps "--range" sim_range "--nvalues" sim_values stdout=filename(o);
+}
+
+app (file o) analyze (file s[])
+{
+  stats filenames(s) stdout=filename(o);
+}
+
+int nsim   = toInt(arg("nsim","10"));
+int steps  = toInt(arg("steps","1"));
+int range  = toInt(arg("range","100"));
+int values = toInt(arg("values","5"));
+
+file sims[];
+
+foreach i in [0:nsim-1] {
+  file simout <single_file_mapper; file=strcat("output/sim_",i,".out")>;
+  simout = simulation(steps,range,values);
+  sims[i] = simout;
+}
+
+file stats<"output/average.out">;
+stats = analyze(sims);
+
+

To run:

+
+
+
$ cd part03
+$ swift p3.swift
+
+

Note that in p3.swift we expose more of the capabilities of the +simulate.sh application to the simulation() app function:

+
+
+
app (file o) simulation (int sim_steps, int sim_range, int sim_values)
+{
+  simulate "--timesteps" sim_steps "--range" sim_range "--nvalues" sim_values stdout=filename(o);
+}
+
+

p3.swift also shows how to fetch application-specific values from +the swift command line in a Swift script using arg() which +accepts a keyword-style argument and its default value:

+
+
+
int nsim   = toInt(arg("nsim","10"));
+int steps  = toInt(arg("steps","1"));
+int range  = toInt(arg("range","100"));
+int values = toInt(arg("values","5"));
+
+

Now we can specify that more runs should be performed and that each should +run for more timesteps, and produce more that one value each, within a specified +range, using command line arguments placed after the Swift script name in the +form -parameterName = value:

+
+
+
$ swift p3.swift -nsim=3 -steps=10 -values=4 -range=1000000
+Swift 0.95 Branch SVN swift-r7903 cog-r3908
+RunID: run001
+Progress: Tue, 03 Jun 2014 17:06:58-0500
+Progress: Tue, 03 Jun 2014 17:06:59-0500  Submitted:2  Active:1
+Progress: Tue, 03 Jun 2014 17:07:00-0500  Submitted:1  Active:2
+Progress: Tue, 03 Jun 2014 17:07:01-0500  Active:3
+Progress: Tue, 03 Jun 2014 17:07:09-0500  Active:2  Finished successfully:1
+Progress: Tue, 03 Jun 2014 17:07:10-0500  Active:1  Finished successfully:2
+Final status:Tue, 03 Jun 2014 17:07:11-0500  Finished successfully:4
+
+$ ls output/
+average.out  sim_0.out  sim_1.out  sim_2.out
+$ more output/*
+::::::::::::::
+output/average.out
+::::::::::::::
+651368
+::::::::::::::
+output/sim_0.out
+::::::::::::::
+  735700
+  886206
+  997391
+  982970
+::::::::::::::
+output/sim_1.out
+::::::::::::::
+  260071
+  264195
+  869198
+  933537
+::::::::::::::
+output/sim_2.out
+::::::::::::::
+  201806
+  213540
+  527576
+  944233
+
+

Now try running (-nsim=) 100 simulations of (-steps=) 1 second each:

+
+
+
$ swift p3.swift -nsim=100 -steps=1
+Swift 0.95 Branch SVN swift-r7903 cog-r3908
+RunID: run002
+Progress: Tue, 03 Jun 2014 17:08:05-0500
+Progress: Tue, 03 Jun 2014 17:08:06-0500  Selecting site:79  Submitted:20
+Active:1
+Progress: Tue, 03 Jun 2014 17:08:07-0500  Selecting site:78  Submitted:18
+Active:3  Finished successfully:1
+Progress: Tue, 03 Jun 2014 17:08:08-0500  Selecting site:75  Submitted:17
+Active:4  Finished successfully:4
+Progress: Tue, 03 Jun 2014 17:08:09-0500  Selecting site:71  Submitted:16
+Active:5  Finished successfully:8
+Progress: Tue, 03 Jun 2014 17:08:11-0500  Selecting site:66  Submitted:15
+Active:6  Finished successfully:13
+Progress: Tue, 03 Jun 2014 17:08:12-0500  Selecting site:60  Submitted:14
+Active:7  Finished successfully:19
+Progress: Tue, 03 Jun 2014 17:08:13-0500  Selecting site:53  Submitted:13
+Active:8  Finished successfully:26
+Progress: Tue, 03 Jun 2014 17:08:14-0500  Selecting site:45  Submitted:12
+Active:9  Finished successfully:34
+Progress: Tue, 03 Jun 2014 17:08:15-0500  Selecting site:36  Submitted:11
+Active:10  Finished successfully:43
+Progress: Tue, 03 Jun 2014 17:08:16-0500  Selecting site:26  Submitted:10
+Active:11  Finished successfully:53
+Progress: Tue, 03 Jun 2014 17:08:17-0500  Selecting site:15  Active:21
+Finished successfully:64
+Progress: Tue, 03 Jun 2014 17:08:18-0500  Active:16  Finished successfully:84
+Progress: Tue, 03 Jun 2014 17:08:19-0500  Active:11  Finished successfully:89
+Final status:Tue, 03 Jun 2014 17:08:19-0500  Finished successfully:101
+
+

Now that we’ve seen how to use Swift to complete simple jobs for you +on your local machine, we can now proceed to learning how to run +similar workflows on remote machines.

+
+
+
+
+

Tutorial Part Two

+
+

When you have access to other resources that you wish to run jobs on, +you can simply state -site=XX (where XX is the name of the resource) on the command line +following the usual command given to run Swift. With the right configuration +specifications, Swift will automatically connect you to the target machine and +start the jobs there.

+

For example, if you are already logged in to a certain machine and you wish to run +jobs locally, you can do:

+
+
+
$ swift p1.swift -site=local
+
+

Then Swift will complete the jobs for you on the login node.

+

You can use part01-03 to run the same workflows as in Part One on the local +node as an exercise. You will learn more examples for running on remote sites using +part04-06 introduced in the following section.

+
+ + + +
+Note + +

You have to have Swift installed on the headnode to run jobs! See Swift Installation for +instructions. However, you do not need to do the same for the remote sites as Swift service will be +automatically carried over.

+
+
+
+

Example 4: Running a parallel ensemble on compute nodes

+

p4.swift will run our mock "simulation" applications on compute nodes. The script is almost the same +as p3.swift, but specifies that each simulation app invocation should additionally return +the log file which the application writes to stderr.

+
+
p4.swift
+
+
type file;
+
+app (file out, file log) simulation (int sim_steps, int sim_range, int sim_values, file sim_script)
+{
+  bash "simulate.sh" "--timesteps" sim_steps "--range" sim_range "--nvalues" sim_values stdout=filename(out) stderr=filename(log);
+}
+
+app (file out, file log) analyze (file s[], file stat_script)
+{
+  bash "stats.sh" filenames(s) stdout=filename(out) stderr=filename(log);
+}
+
+int nsim   = toInt(arg("nsim",   "10"));
+int steps  = toInt(arg("steps",  "1"));
+int range  = toInt(arg("range",  "100"));
+int values = toInt(arg("values", "5"));
+
+file simulate_script <"simulate.sh">;
+file stats_script <"stats.sh">;
+
+file sims[];
+
+foreach i in [0:nsim-1] {
+  file simout <single_file_mapper; file=strcat("output/sim_",i,".out")>;
+  file simlog <single_file_mapper; file=strcat("output/sim_",i,".log")>;
+  (simout,simlog) = simulation(steps,range,values,simulate_script);
+  sims[i] = simout;
+}
+
+file stats_out<"output/average.out">;
+file stats_log<"output/average.log">;
+(stats_out, stats_log) = analyze(sims, stats_script);
+
+

Now when you run swift p4.swift you will see that two types of output files will be placed in +the output/ directory: sim_N.out and sim_N.log. The log files provide data on the runtime +environment of each app invocation.

+

Note that in the script we use bash to invoke simulate.sh and stats.sh instead of just using simulate and +stats. This is because simulate and stats are no longer added to the $PATH on the remote site +and we have to manually give the command to execute the bash script.

+

In order to run p4.swift on compute nodes instead of on the headnode, you can again specify it on the command +line. For example, if you are on Midway, you can run:

+
+
+
$ swift p4.swift -site=midway-compute
+
+

The site names can be defined in the Swift’s swift.properties configuration file. The +file allows many parameters to specify how jobs should be run on a given site.

+

Consider, for example, that Midway has several Slurm partitions. The sandyb partition has 16 +cores, and the westmere partition has 12 cores. Depending on the application and which partitions +are busy, you may want to modify where you run in the jobQueue specification:

+
+
+
site.midway-compute {
+   jobManager=slurm
+   jobQueue=westmere
+   tasksPerWorker=4
+   initialScore=10000
+   filesystem=local
+   jobproject=pi-wilde
+   workdir=/scratch/midway/sophiayang/work
+}
+
+

By setting the tasksPerWorker to the desired number of parallel application +invocations it is possible to take advantage of multiple cores in the processor. +The taskThrottle variable is used to limit number of tasks sent to workers +for execution. Both tasksPerWorker and taskThrottle are set to 2 in the tutorial +and could be set to the number of cores available on your machine. +You should also make sure to change workdir to your own directory on the site.

+

You can also execute jobs remotely from your own machine by setting jobManager to the +full path of the scheduler.

+

For example, if you run:

+
+
+
$ swift p4.swift -site=midway-remote
+
+

Swift will ssh to the target site and start the jobs there.

+

swift.properties will therefore look like this:

+
+
+
site.midway-remote {
+   jobManager=midway.rcc.uchicago.edu:slurm
+   jobQueue=westmere
+   tasksPerWorker=12
+   initialScore=10000
+   filesystem=local
+   jobproject=pi-wilde
+   workdir=/scratch/midway/sophiayang/work
+}
+
+

With the right specifications, you can define your own site using similar +property settings. Swift will then be able to run anywhere you want.

+

More explanations on setting the configuration file will be found in the User Guide.

+
+ + + +
+Note + +

Make sure you have passphraseless accesses to all sites +to ensure a smooth workflow. This can be done by identifying yourself with +your public key on all remote sites.

+
+
+
+
+

Example 5: Controlling the compute-node pools where applications run

+

p5.swift is exactly the same as p4.swift with one exception: stats.sh is executed +using sh instead of bash in the analyze application.

+
+
p5.swift
+
+
type file;
+
+app (file out, file log) simulation (int sim_steps, int sim_range, int sim_values, file sim_script)
+{
+  bash "simulate.sh" "--timesteps" sim_steps "--range" sim_range "--nvalues" sim_values stdout=@out stderr=@log;
+}
+
+app (file out, file log) analyze (file s[], file stat_script)
+{
+  sh "stats.sh" filenames(s) stdout=filename(out) stderr=filename(log);
+}
+
+int nsim   = toInt(arg("nsim",   "10"));
+int steps  = toInt(arg("steps",  "1"));
+int range  = toInt(arg("range",  "100"));
+int values = toInt(arg("values", "5"));
+
+file sims[];
+file simulate_script <"simulate.sh">;
+file stats_script <"stats.sh">;
+
+foreach i in [0:nsim-1] {
+  file simout <single_file_mapper; file=strcat("output/sim_",i,".out")>;
+  file simlog <single_file_mapper; file=strcat("output/sim_",i,".log")>;
+  (simout,simlog) = simulation(steps,range,values,simulate_script);
+  sims[i] = simout;
+}
+
+file stats_out<"output/average.out">;
+file stats_log<"output/average.log">;
+(stats_out, stats_log) = analyze(sims,stats_script);
+
+

This modification can be used to control where you run your applications. Right now Swift will +execute each of the apps on every site where it is able to be located in $PATH. Therefore, +in order to give instructions on where to run each application, you need to define each of the apps +you used inside your application declarations in swift.properties. For example in this case:

+
+
Definition for app simulation
+
+
app.midway.bash=/bin/bash
+
+

It indicates that the app bash is located in /bin/bash and Swift +will look for such a file on a site named midway to run the simulation application.

+
+
Definition for app analyze
+
+
app.local.analyze=/bin/sh
+
+

Similarly, Swift will look for /bin/sh locally to execute the analyze application.

+

For another example, let us take another look at p1.swift:

+
+
+
type file;
+
+app (file o) simulation ()
+{
+  simulate stdout=filename(o);
+}
+
+file f <"sim.out">;
+f = simulation();
+
+

If you define app simulate like this:

+
+
+
app.local.simulate=$PWD/simulate.sh
+
+

It indicates that the app simulate is located in the file simulate.sh and since +the path simulate.sh is specified with no directory components, Swift expects that +simulate.sh executable will be available in your $PATH.

+
Specifying sites in configuration file

If you are used to running jobs on a fixed combination of sites and don’t want to type +out the names every single time, you can also specify them in swift.properties +by doing site=XX, XX, ... For example, instead of running:

+
+
+
$ swift p5.swift -site=midway-remote,local
+
+

You can just say this in swift.properties:

+
+
+
site=midway-remote,local
+
+

Then if you have defined all your apps in the configuration file correctly, +when you run swift p5.swift Swift will execute each of the apps on the +corresponding site that you specified.

+
+
+

Example 6: Specifying more complex workflow patterns

+

p6.swift expands the workflow pattern of p5.swift to add additional +stages to the workflow. Here, we generate a dynamic seed value that +will be used by all of the simulations to initialize the random number +generator, so that there are some dependencies to the numbers being generated. +For each simulation, we also run a pre-processing application to generate a unique "bias +file" (Remeber the form (R*scale)+bias). This pattern is shown below, followed by the Swift script.

+
+
+part06.png +
+
+
+
p6.swift
+
+
type file;
+
+# Main script and data
+file simulate_script <"simulate.sh">;
+file stats_script <"stats.sh">;
+file seedfile <"output/seed.dat">;        # Dynamically generated bias for simulation ensemble
+
+app (file out) genseed (int nseeds, file seed_script)
+{
+  bash "simulate.sh" "-r" 2000000 "-n" nseeds stdout=filename(out);
+}
+
+app (file out) genbias (int bias_range, int nvalues, file bias_script)
+{
+  bash "simulate.sh" "-r" bias_range "-n" nvalues stdout=filename(out);
+}
+
+app (file out, file log) simulation (int timesteps, int sim_range,
+                                     file bias_file, int scale, int sim_count,
+                                     file sim_script, file seed_file)
+{
+  bash "simulate.sh" "-t" timesteps "-r" sim_range "-B" filename(bias_file) "-x" scale
+           "-n" sim_count "-S" filename(seed_file) stdout=filename(out) stderr=filename(log);
+}
+
+app (file out, file log) analyze (file s[], file stat_script)
+{
+  bash "stats.sh" filenames(s) stdout=filename(out) stderr=filename(log);
+}
+
+# Command line arguments
+int  nsim  = toInt(arg("nsim",   "10"));  # number of simulation programs to run
+int  steps = toInt(arg("steps",  "1"));   # number of timesteps (seconds) per simulation
+int  range = toInt(arg("range",  "100")); # range of the generated random numbers
+int  values = toInt(arg("values", "10"));  # number of values generated per simulation
+
+tracef("\n*** Script parameters: nsim=%i range=%i num values=%i\n\n", nsim, range, values);
+seedfile = genseed(1, simulate_script); # pass the simulate.sh script to the remote site as an argument
+
+file sims[];                      # Array of files to hold each simulation output
+
+foreach i in [0:nsim-1] {
+  file biasfile <single_file_mapper; file=strcat("output/bias_",i,".dat")>;
+  file simout   <single_file_mapper; file=strcat("output/sim_",i,".out")>;
+  file simlog   <single_file_mapper; file=strcat("output/sim_",i,".log")>;
+  biasfile = genbias(1000, 20, simulate_script);
+  (simout,simlog) = simulation(steps, range, biasfile, 1000000, values, simulate_script, seedfile);
+  sims[i] = simout;
+}
+
+file stats_out<"output/average.out">;
+file stats_log<"output/average.log">;
+(stats_out,stats_log) = analyze(sims, stats_script);
+
+

Note that the workflow is based on data flow dependencies: each simulation +depends on the single seed value, calculated in this statement:

+
+
+
seedfile = genseed(1, simulate_script);
+
+

The bias file is computed and then consumed in these two dependent statements:

+
+
+
  biasfile = genbias(1000, 20, simulate_script);
+  (simout,simlog) = simulation(steps, range, biasfile, 1000000, values, simulate_script, seedfile);
+
+

To run:

+
+
+
$ cd ../part06
+$ swift p6.swift
+
+

The default parameters result in the following execution log:

+
+
+
$ swift p6.swift
+Swift 0.95 Branch SVN swift-r7903 cog-r3908
+RunID: run001
+Progress: Thu, 05 Jun 2014 06:01:36-0500
+
+*** Script parameters: nsim=10 range=100 num values=10
+
+Progress: Thu, 05 Jun 2014 06:01:37-0500  Submitted:8  Active:2  Finished successfully:11
+Progress: Thu, 05 Jun 2014 06:01:38-0500  Submitted:6  Active:2  Finished successfully:13
+Progress: Thu, 05 Jun 2014 06:01:39-0500  Submitted:4  Active:2  Finished successfully:15
+Progress: Thu, 05 Jun 2014 06:01:40-0500  Submitted:2  Active:2  Finished successfully:17
+Progress: Thu, 05 Jun 2014 06:01:41-0500  Active:2  Finished successfully:19
+Final status:Thu, 05 Jun 2014 06:01:41-0500  Finished successfully:22
+
+

which produces the following output:

+
+
+
$ ls -lrt output
+total 264
+-rw-r--r-- 1 p01532 61532     9 Aug 27 19:17 seed.dat
+-rw-r--r-- 1 p01532 61532   180 Aug 27 19:17 bias_9.dat
+-rw-r--r-- 1 p01532 61532   180 Aug 27 19:17 bias_8.dat
+-rw-r--r-- 1 p01532 61532   180 Aug 27 19:17 bias_7.dat
+-rw-r--r-- 1 p01532 61532   180 Aug 27 19:17 bias_6.dat
+-rw-r--r-- 1 p01532 61532   180 Aug 27 19:17 bias_5.dat
+-rw-r--r-- 1 p01532 61532   180 Aug 27 19:17 bias_4.dat
+-rw-r--r-- 1 p01532 61532   180 Aug 27 19:17 bias_3.dat
+-rw-r--r-- 1 p01532 61532   180 Aug 27 19:17 bias_2.dat
+-rw-r--r-- 1 p01532 61532   180 Aug 27 19:17 bias_1.dat
+-rw-r--r-- 1 p01532 61532   180 Aug 27 19:17 bias_0.dat
+-rw-r--r-- 1 p01532 61532    90 Aug 27 19:17 sim_9.out
+-rw-r--r-- 1 p01532 61532 14897 Aug 27 19:17 sim_9.log
+-rw-r--r-- 1 p01532 61532 14897 Aug 27 19:17 sim_8.log
+-rw-r--r-- 1 p01532 61532    90 Aug 27 19:17 sim_7.out
+-rw-r--r-- 1 p01532 61532    90 Aug 27 19:17 sim_6.out
+-rw-r--r-- 1 p01532 61532 14897 Aug 27 19:17 sim_6.log
+-rw-r--r-- 1 p01532 61532    90 Aug 27 19:17 sim_5.out
+-rw-r--r-- 1 p01532 61532 14897 Aug 27 19:17 sim_5.log
+-rw-r--r-- 1 p01532 61532    90 Aug 27 19:17 sim_4.out
+-rw-r--r-- 1 p01532 61532 14897 Aug 27 19:17 sim_4.log
+-rw-r--r-- 1 p01532 61532 14897 Aug 27 19:17 sim_1.log
+-rw-r--r-- 1 p01532 61532    90 Aug 27 19:18 sim_8.out
+-rw-r--r-- 1 p01532 61532 14897 Aug 27 19:18 sim_7.log
+-rw-r--r-- 1 p01532 61532    90 Aug 27 19:18 sim_3.out
+-rw-r--r-- 1 p01532 61532 14897 Aug 27 19:18 sim_3.log
+-rw-r--r-- 1 p01532 61532    90 Aug 27 19:18 sim_2.out
+-rw-r--r-- 1 p01532 61532 14898 Aug 27 19:18 sim_2.log
+-rw-r--r-- 1 p01532 61532    90 Aug 27 19:18 sim_1.out
+-rw-r--r-- 1 p01532 61532    90 Aug 27 19:18 sim_0.out
+-rw-r--r-- 1 p01532 61532 14897 Aug 27 19:18 sim_0.log
+-rw-r--r-- 1 p01532 61532     9 Aug 27 19:18 average.out
+-rw-r--r-- 1 p01532 61532 14675 Aug 27 19:18 average.log
+
+

Each sim_N.out file is the sum of its bias file plus newly "simulated" random output scaled by 1,000,000:

+
+
+
$ cat output/bias_0.dat
+     302
+     489
+      81
+     582
+     664
+     290
+     839
+     258
+     506
+     310
+     293
+     508
+      88
+     261
+     453
+     187
+      26
+     198
+     402
+     555
+
+$ cat output/sim_0.out
+64000302
+38000489
+32000081
+12000582
+46000664
+36000290
+35000839
+22000258
+49000506
+75000310
+
+

We produce 20 values in each bias file. Simulations of less than that +number of values ignore the unneeded number, while simualtions of more +than 20 will use the last bias number for all remaining values past +20. As an exercise, adjust the code to produce the same number of +bias values as is needed for each simulation. As a further exercise, +modify the script to generate a unique seed value for each simulation, +which is a common practice in ensemble computations.

+
+
+

Performing larger Swift runs and Plotting run activities

+

To test with larger runs, you can change the command line arguments. The +example below will run 1000 simulations with each simulation taking 5 seconds:

+
+
+
$ swift p6.swift -steps=5 -nsim=1000
+
+

The tutorial bin directory in your $PATH provides a script +plot.sh to plot the progress of a Swift script. It generates two +image files: activeplot.png, which shows the number of active jobs +over time, and cumulativeplot.png, which shows the total number of +app calls completed as the Swift script progresses.

+

After each Swift run, a new run directory is created called runNNN. +Each run directory will have a log file with a similar name called +runNNN.log. Once you have identified the log file name, run the +command plot.sh <logfile> to generate the plots for that +specific run. For example:

+
+
+
$ ls
+output  p3.swift  run000  swift.properties
+
+$ cd run000/
+
+$ ls
+apps  cf  p3-20131202-2004-0kh4ha6e.d  run000.log  sites.xml
+
+$ plot.sh run000.log
+
+

This can thus yield plots like the following:

+
+
+width=700 +
+
+
+
+width=700 +
+
+
+
+
+
+
+ + + From b72674d690457e19e48ab5fc429676184f2dd83a Mon Sep 17 00:00:00 2001 From: Yangxinye Yang Date: Wed, 2 Jul 2014 17:33:05 -0500 Subject: [PATCH 16/34] updating doc --- swift-cloud-tutorial/doc/README | 2 +- swift-cloud-tutorial/doc/README.html | 4 ++-- 2 files changed, 3 insertions(+), 3 deletions(-) diff --git a/swift-cloud-tutorial/doc/README b/swift-cloud-tutorial/doc/README index 0021a3e..32a6d08 100644 --- a/swift-cloud-tutorial/doc/README +++ b/swift-cloud-tutorial/doc/README @@ -49,7 +49,7 @@ Run the following commands to extract these tutorial scripts. [red]## wget https://github.com/yadudoc/swift-on-cloud/archive/master.zip unzip master.zip mv swift-on-cloud-master swift-on-cloud -cd swift-on-cloud +cd swift-on-cloud/swift-cloud-tutorial ----- //// $ cd $HOME diff --git a/swift-cloud-tutorial/doc/README.html b/swift-cloud-tutorial/doc/README.html index cea4d97..df3f53d 100644 --- a/swift-cloud-tutorial/doc/README.html +++ b/swift-cloud-tutorial/doc/README.html @@ -803,7 +803,7 @@

Tutorial scripts installation

wget https://github.com/yadudoc/swift-on-cloud/archive/master.zip
 unzip master.zip
 mv swift-on-cloud-master swift-on-cloud
-cd swift-on-cloud
+cd swift-on-cloud/swift-cloud-tutorial

Run the tutorial setup script

@@ -1758,7 +1758,7 @@

Performing la
From 58aeea0047d0ab953232bc33d2193a7f8d55fa58 Mon Sep 17 00:00:00 2001 From: Yangxinye Yang Date: Wed, 2 Jul 2014 17:36:17 -0500 Subject: [PATCH 17/34] updating doc --- swift-cloud-tutorial/doc/README | 2 +- swift-cloud-tutorial/doc/README.html | 4 ++-- 2 files changed, 3 insertions(+), 3 deletions(-) diff --git a/swift-cloud-tutorial/doc/README b/swift-cloud-tutorial/doc/README index 32a6d08..92a42b0 100644 --- a/swift-cloud-tutorial/doc/README +++ b/swift-cloud-tutorial/doc/README @@ -46,7 +46,7 @@ Tutorial scripts installation Run the following commands to extract these tutorial scripts. [red]## ----- -wget https://github.com/yadudoc/swift-on-cloud/archive/master.zip +wget https://github.com/tauzi/swift-on-cloud/archive/master.zip unzip master.zip mv swift-on-cloud-master swift-on-cloud cd swift-on-cloud/swift-cloud-tutorial diff --git a/swift-cloud-tutorial/doc/README.html b/swift-cloud-tutorial/doc/README.html index df3f53d..691d206 100644 --- a/swift-cloud-tutorial/doc/README.html +++ b/swift-cloud-tutorial/doc/README.html @@ -800,7 +800,7 @@

Tutorial scripts installation

Run the following commands to extract these tutorial scripts. <fix?>

-
wget https://github.com/yadudoc/swift-on-cloud/archive/master.zip
+
wget https://github.com/tauzi/swift-on-cloud/archive/master.zip
 unzip master.zip
 mv swift-on-cloud-master swift-on-cloud
 cd swift-on-cloud/swift-cloud-tutorial

@@ -1758,7 +1758,7 @@ 
Performing la
 

 
 

From d1cfc70369cbf2b97ab536b35f86a5ba9b4625a2 Mon Sep 17 00:00:00 2001
From: Yangxinye Yang 
Date: Mon, 7 Jul 2014 09:49:47 -0500
Subject: [PATCH 18/34] add osg config

---
 swift-cloud-tutorial/doc/README              |  2 +-
 swift-cloud-tutorial/doc/README.html         |  4 ++--
 swift-cloud-tutorial/part04/swift.properties | 20 ++++++++++++++++++++
 3 files changed, 23 insertions(+), 3 deletions(-)

diff --git a/swift-cloud-tutorial/doc/README b/swift-cloud-tutorial/doc/README
index 92a42b0..5514a9a 100644
--- a/swift-cloud-tutorial/doc/README
+++ b/swift-cloud-tutorial/doc/README
@@ -39,7 +39,7 @@ Swift installation
 ------------------
 1. Download the file by running "wget http://swiftlang.org/packages/swift-0.95-RC6.tar.gz"
 2. Extract by running "tar xfz swift-0.95-RC6.tar.gz"
-3. Add to PATH by running "export PATH=$PATH:/path/to/swift-0.95-RC6/bin"
+3. Add to PATH by running "export PATH=/path/to/swift-0.95-RC6/bin:$PATH"
 
 Tutorial scripts installation
 -----------------------------
diff --git a/swift-cloud-tutorial/doc/README.html b/swift-cloud-tutorial/doc/README.html
index 691d206..98394f0 100644
--- a/swift-cloud-tutorial/doc/README.html
+++ b/swift-cloud-tutorial/doc/README.html
@@ -788,7 +788,7 @@ 
Swift installation

 
 
  • 
 
    
-Add to PATH by running "export PATH=$PATH:/path/to/swift-0.95-RC6/bin"
+Add to PATH by running "export PATH=/path/to/swift-0.95-RC6/bin:$PATH"
 
    
 
    •
    @@ -1758,7 +1758,7 @@

    Performing la
    diff --git a/swift-cloud-tutorial/part04/swift.properties b/swift-cloud-tutorial/part04/swift.properties index 7f64a95..e4d22bb 100644 --- a/swift-cloud-tutorial/part04/swift.properties +++ b/swift-cloud-tutorial/part04/swift.properties @@ -53,5 +53,25 @@ site.beagle-remote { workDir=/lustre/beagle/sophiayang } +site.osgconnect { + jobManager=condor + initialScore=10000 + tasksPerWorker=1 + jobGranularity=1 + jobType=nonshared + condor.+ProjectName=Swift + workdir=. +} + +site.osgconnect-ssh { + jobManager=login.osgconnect.net:condor + initialScore=10000 + tasksPerWorker=1 + jobGranularity=1 + jobType=nonshared + condor.+ProjectName=Swift + workdir=. +} + #app.local.stats=$PWD/stats.sh #app.midway.bash=/bin/bash From cdd33d4b89cf295b26cb22cdf0ab5f1434893139 Mon Sep 17 00:00:00 2001 From: Yangxinye Yang Date: Mon, 7 Jul 2014 11:01:58 -0500 Subject: [PATCH 19/34] link to apps --- swift-cloud-tutorial/app/simulate | 1 + swift-cloud-tutorial/app/stats | 1 + 2 files changed, 2 insertions(+) create mode 120000 swift-cloud-tutorial/app/simulate create mode 120000 swift-cloud-tutorial/app/stats diff --git a/swift-cloud-tutorial/app/simulate b/swift-cloud-tutorial/app/simulate new file mode 120000 index 0000000..ef54f2c --- /dev/null +++ b/swift-cloud-tutorial/app/simulate @@ -0,0 +1 @@ +simulate.sh \ No newline at end of file diff --git a/swift-cloud-tutorial/app/stats b/swift-cloud-tutorial/app/stats new file mode 120000 index 0000000..f942fd4 --- /dev/null +++ b/swift-cloud-tutorial/app/stats @@ -0,0 +1 @@ +stats.sh \ No newline at end of file From 4fa952a707bd29c9f55e86cb28f16faefc0968d1 Mon Sep 17 00:00:00 2001 From: Yangxinye Yang Date: Mon, 7 Jul 2014 11:31:30 -0500 Subject: [PATCH 20/34] change config --- swift-cloud-tutorial/part04/swift.properties | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/swift-cloud-tutorial/part04/swift.properties b/swift-cloud-tutorial/part04/swift.properties index e4d22bb..d826825 100644 --- a/swift-cloud-tutorial/part04/swift.properties +++ b/swift-cloud-tutorial/part04/swift.properties @@ -63,7 +63,7 @@ site.osgconnect { workdir=. } -site.osgconnect-ssh { +site.osgconnect-remote { jobManager=login.osgconnect.net:condor initialScore=10000 tasksPerWorker=1 From 9dee01932ff8ea2089f39a1935dec2fa13b8b629 Mon Sep 17 00:00:00 2001 From: Yangxinye Yang Date: Tue, 8 Jul 2014 15:13:56 -0500 Subject: [PATCH 21/34] updating doc --- swift-cloud-tutorial/doc/README | 114 ++++++++++++++++++-------------- 1 file changed, 63 insertions(+), 51 deletions(-) diff --git a/swift-cloud-tutorial/doc/README b/swift-cloud-tutorial/doc/README index 5514a9a..9ffd157 100644 --- a/swift-cloud-tutorial/doc/README +++ b/swift-cloud-tutorial/doc/README @@ -23,9 +23,9 @@ for complex parallel programming. Swift expresses your workflow in a portable fashion: The same script runs on multicore computers, clusters, clouds, grids, and supercomputers. -This tutorial contains *two parts*. In the first part you will be able to try a few +This tutorial contains *two sections*. In the first section you will be able to try a few Swift examples on your local machine, to get a sense of the language. Then in the -second part you will run similar workflows on remote resources such as Midway, +second section you will run similar workflows on remote resources such as Midway, distributed OSG Connect resources, Cray, etc., and learn how to instruct Swift to run jobs in different places. You will also see how more complex workflows can be expressed with Swift scripts. @@ -37,16 +37,18 @@ on your own machine by connecting to them remotely. Swift installation ------------------ -1. Download the file by running "wget http://swiftlang.org/packages/swift-0.95-RC6.tar.gz" -2. Extract by running "tar xfz swift-0.95-RC6.tar.gz" -3. Add to PATH by running "export PATH=/path/to/swift-0.95-RC6/bin:$PATH" +----- +$ wget http://swiftlang.org/packages/swift-0.95-RC6.tar.gz # Download the file +$ tar xfz swift-0.95-RC6.tar.gz # Extract the file +$ export PATH=/path/to/swift-0.95-RC6/bin:$PATH # Add to PATH +----- Tutorial scripts installation ----------------------------- Run the following commands to extract these tutorial scripts. [red]## ----- -wget https://github.com/tauzi/swift-on-cloud/archive/master.zip +wget https://github.com/yadudoc/swift-on-cloud/archive/master.zip unzip master.zip mv swift-on-cloud-master swift-on-cloud cd swift-on-cloud/swift-cloud-tutorial @@ -69,7 +71,7 @@ In the tutorial directory you will find six `partNN` folders. Each part contains demonstrate different functions for the workflow tutorial. `part01` to `part03` contain Swift scripts for running jobs locally. `part04` to `part06` contain scripts for running jobs on remote resources that you have access to, with corresponding configurations. Further explanations on these will -be in Part Two of this tutorial. +be in Section Two of this tutorial. .To check out the tutorial scripts from SVN @@ -90,6 +92,12 @@ To verify that Swift has successfully loaded, run: $ swift -version # verify that you have Swift 0.95 RC6 ----- +[NOTE] +===== +If you re-login or open new ssh sessions, you must re-run `source setup.sh` in each +ssh shell/window. +===== + Simple sample "science applications" for the workflow tutorial -------------------------------------------------------------- @@ -199,9 +207,9 @@ $ stats.sh f* 2>log ----- -*Tutorial Part One* -------------------- -This tutorial is only for running on localhost. See Part Two for tutorial on running jobs on +*Tutorial Section One* +---------------------- +This tutorial is only for running on localhost. See Section Two for tutorial on running jobs on remote resources. ///// @@ -315,7 +323,7 @@ You will find a Swift configuration file `swift.properties` in each `partNN` directory in the tutorial folder. It defines properties that control the parallelism involved in the swift execution. It also defines properties such as the work directory and the scheduler to use. The specifics will -be explained in more detail in the second part of the tutorial, and can be +be explained in more detail in the second section of the tutorial, and can be ignored for now. ===== @@ -405,7 +413,7 @@ int values = toInt(arg("values","5")); Now we can specify that more runs should be performed and that each should run for more timesteps, and produce more that one value each, within a specified range, using command line arguments placed after the Swift script name in the -form `-parameterName = value`: +form `-parameterName=value`: ----- $ swift p3.swift -nsim=3 -steps=10 -values=4 -range=1000000 @@ -487,8 +495,8 @@ Now that we've seen how to use Swift to complete simple jobs for you on your local machine, we can now proceed to learning how to run similar workflows on remote machines. -*Tutorial Part Two* -------------------- +*Tutorial Section Two* +---------------------- When you have access to other resources that you wish to run jobs on, you can simply state `-site=XX` (where `XX` is the name of the resource) on the command line @@ -496,14 +504,14 @@ following the usual command given to run Swift. With the right configuration specifications, Swift will automatically connect you to the target machine and start the jobs there. -For example, if you are already logged in to a certain machine and you wish to run +For example, if you are already logged in on a certain machine and you wish to run jobs locally, you can do: ----- $ swift p1.swift -site=local ----- Then Swift will complete the jobs for you on the login node. -You can use `part01-03` to run the same workflows as in Part One on the local +You can use `part01-03` to run the same workflows as in Section One on the local node as an exercise. You will learn more examples for running on remote sites using `part04-06` introduced in the following section. @@ -600,7 +608,7 @@ and we have to manually give the command to execute the bash script. In order to run `p4.swift` on compute nodes instead of on the headnode, you can again specify it on the command line. For example, if you are on Midway, you can run: ----- -$ swift p4.swift -site=midway-compute +$ swift p4.swift -site=midway ----- The site names can be defined in the Swift's `swift.properties` configuration file. The @@ -610,14 +618,14 @@ Consider, for example, that Midway has several Slurm partitions. The sandyb part cores, and the westmere partition has 12 cores. Depending on the application and which partitions are busy, you may want to modify where you run in the `jobQueue` specification: ----- -site.midway-compute { +site.midway { jobManager=slurm jobQueue=westmere tasksPerWorker=4 initialScore=10000 filesystem=local - jobproject=pi-wilde - workdir=/scratch/midway/sophiayang/work + jobproject=pi-wilde # Put your own project ID here + workdir=/scratch/midway/$USER/work } ----- By setting the `tasksPerWorker` to the desired number of parallel application @@ -644,11 +652,14 @@ site.midway-remote { tasksPerWorker=12 initialScore=10000 filesystem=local - jobproject=pi-wilde - workdir=/scratch/midway/sophiayang/work + jobproject=pi-wilde # Put your own project ID here + workdir=/scratch/midway/$USER/work } ----- +Note that if you have a different `$USER` name on your working site from your +local machine, you should change the `workdir` accordingly to the correct one. + With the right specifications, you can define your own site using similar property settings. Swift will then be able to run anywhere you want. @@ -658,13 +669,14 @@ More explanations on setting the configuration file will be found in the User Gu ===== Make sure you have passphraseless accesses to all sites to ensure a smooth workflow. This can be done by identifying yourself with -your public key on all remote sites. +your public key on all remote sites. Here is a tutorial for doing this: +http://www.unixwiz.net/techtips/ssh-agent-forwarding.html ===== Example 5: Controlling the compute-node pools where applications run ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ -`p5.swift` is exactly the same as `p4.swift` with one exception: `stats.sh` is executed -using `sh` instead of `bash` in the `analyze` application. +`p5.swift` is exactly the same as `p4.swift` with one exception: `simulate.sh` and `stats.sh` +are executed using `remote_sh` and `local_sh` respectively instead of `bash`. .p5.swift ----- @@ -672,12 +684,12 @@ type file; app (file out, file log) simulation (int sim_steps, int sim_range, int sim_values, file sim_script) { - bash "simulate.sh" "--timesteps" sim_steps "--range" sim_range "--nvalues" sim_values stdout=@out stderr=@log; + remote_sh "simulate.sh" "--timesteps" sim_steps "--range" sim_range "--nvalues" sim_values stdout=filename(out) stderr=filename(log); } app (file out, file log) analyze (file s[], file stat_script) { - sh "stats.sh" filenames(s) stdout=filename(out) stderr=filename(log); + local_sh "stats.sh" filenames(s) stdout=filename(out) stderr=filename(log); } int nsim = toInt(arg("nsim", "10")); @@ -701,25 +713,39 @@ file stats_log<"output/average.log">; (stats_out, stats_log) = analyze(sims,stats_script); ----- -This modification can be used to control where you run your applications. Right now Swift will -execute each of the `apps` on every site where it is able to be located in `$PATH`. Therefore, -in order to give instructions on where to run each application, you need to define *each* of the `apps` -you used inside your application declarations in `swift.properties`. For example in this case: +This modification can be used to control where you run your applications. In order to do this, +you need to define *each* of the `apps` you used inside your application declarations to specify +where they come from. They should be put in the `swift.properties` in the following form: +----- +app..= +----- +By setting an "app location" property in the `swift.properties`, you are explicitly setting the +sites on which the `app` is allowed to run and the executable to be used on that site. A point +to note is that, if there is no `app` defined in the `swift.properties`, Swift will assume that +every `app` in the Swift script is free to run on all defined sites. But if any single `app` +is defined in the `swift.properties`, Swift expects to see `app` property for every `app` used. +For example: + +//// +Right now Swift will +execute each of the `apps` on every site where it is able to be located in `$PATH`. +Therefore, +//// .Definition for app `simulation` ----- -app.midway.bash=/bin/bash +app.midway.remote_sh=/bin/bash ----- -It indicates that the app `bash` is located in `/bin/bash` and Swift -will look for such a file on a site named `midway` to run the `simulation` application. +It indicates that the app `remote_sh` should be executed using `/bin/bash` and Swift +will look for it on a site named `midway` to run the `simulation` application. .Definition for app `analyze` ----- -app.local.analyze=/bin/sh +app.local.local_sh=/bin/bash ----- Similarly, Swift will look for `/bin/sh` locally to execute the `analyze` application. - +//// For another example, let us take another look at `p1.swift`: ----- type file; @@ -740,6 +766,7 @@ app.local.simulate=$PWD/simulate.sh It indicates that the app `simulate` is located in the file `simulate.sh` and since the path `simulate.sh` is specified with no directory components, Swift expects that `simulate.sh` executable will be available in your `$PATH`. +//// .Specifying sites in configuration file If you are used to running jobs on a fixed combination of sites and don't want to type @@ -981,18 +1008,3 @@ This can thus yield plots like the following: image::activeplot.png[width=700,align=center] image::cumulativeplot.png[width=700,align=center] - - -//// -You will also find a Swift configuration file `swift.properties` -in each `partNN` directory in the tutorial folder. These specify the -environment-specific details of where to find application (file `apps`) -and where to run them (file `sites.xml`). These files will be explained -in more detail in the second part, and can be ignored for now. - -In part 2, we update the `swift.properties` file. Instead of using -shell script `simulate.sh`, we use the equivalent python version -`simulate.py`. Swift does not need to know anything about the language an -application is written in. The application can be written in Perl, Python, -Java, Fortran, or any other language. (see def in localhost tutorial part2) -//// From 9a669191c3d72fa4eb43cde1fedee7ec391ddaa1 Mon Sep 17 00:00:00 2001 From: Yangxinye Yang Date: Tue, 8 Jul 2014 15:14:09 -0500 Subject: [PATCH 22/34] updaing --- swift-cloud-tutorial/doc/README.html | 129 +++++++++---------- swift-cloud-tutorial/part04/swift.properties | 4 +- 2 files changed, 62 insertions(+), 71 deletions(-) diff --git a/swift-cloud-tutorial/doc/README.html b/swift-cloud-tutorial/doc/README.html index 98394f0..1a45573 100644 --- a/swift-cloud-tutorial/doc/README.html +++ b/swift-cloud-tutorial/doc/README.html @@ -764,9 +764,9 @@

    Introduction: Why Parallel Scripti for complex parallel programming. Swift expresses your workflow in a portable fashion: The same script runs on multicore computers, clusters, clouds, grids, and supercomputers.

    -

    This tutorial contains two parts. In the first part you will be able to try a few +

    This tutorial contains two sections. In the first section you will be able to try a few Swift examples on your local machine, to get a sense of the language. Then in the -second part you will run similar workflows on remote resources such as Midway, +second section you will run similar workflows on remote resources such as Midway, distributed OSG Connect resources, Cray, etc., and learn how to instruct Swift to run jobs in different places. You will also see how more complex workflows can be expressed with Swift scripts.

    @@ -775,23 +775,12 @@

    Introduction: Why Parallel Scripti

    Swift installation

    -
      -
    1. -

      -Download the file by running "wget http://swiftlang.org/packages/swift-0.95-RC6.tar.gz" -

      -
      2. -
    2. -

      -Extract by running "tar xfz swift-0.95-RC6.tar.gz" -

      -
      3. -
    3. -

      -Add to PATH by running "export PATH=/path/to/swift-0.95-RC6/bin:$PATH" -

      -
      4. -
    +
    +
    +
    $ wget http://swiftlang.org/packages/swift-0.95-RC6.tar.gz  # Download the file
+$ tar xfz swift-0.95-RC6.tar.gz   # Extract the file
+$ export PATH=/path/to/swift-0.95-RC6/bin:$PATH   # Add to PATH
    +
    @@ -800,7 +789,7 @@

    Tutorial scripts installation

    Run the following commands to extract these tutorial scripts. <fix?>

    -
    wget https://github.com/tauzi/swift-on-cloud/archive/master.zip
+
    wget https://github.com/yadudoc/swift-on-cloud/archive/master.zip
 unzip master.zip
 mv swift-on-cloud-master swift-on-cloud
 cd swift-on-cloud/swift-cloud-tutorial
    
@@ -816,7 +805,7 @@ 
    Tutorial scripts installation
    
 demonstrate different functions for the workflow tutorial. part01 to part03 contain
 Swift scripts for running jobs locally. part04 to part06 contain scripts for running jobs on remote
 resources that you have access to, with corresponding configurations. Further explanations on these will
-be in Part Two of this tutorial.
    +be in Section Two of this tutorial.

    To check out the tutorial scripts from SVN

    If you later want to get the most recent version of this tutorial from the Swift Subversion repository, do:

    @@ -830,6 +819,17 @@

    Tutorial scripts installation

    $ swift -version # verify that you have Swift 0.95 RC6
    +
    + + + +
    +Note + +

    If you re-login or open new ssh sessions, you must re-run source setup.sh in each +ssh shell/window.

    +
    +

    @@ -924,9 +924,9 @@

    stats.sh

    -

    Tutorial Part One

    +

    Tutorial Section One

    -

    This tutorial is only for running on localhost. See Part Two for tutorial on running jobs on +

    This tutorial is only for running on localhost. See Section Two for tutorial on running jobs on remote resources.

    A Summary of Swift in a nutshell

    @@ -1075,7 +1075,7 @@

    Example 1: Run a single in each partNN directory in the tutorial folder. It defines properties that control the parallelism involved in the swift execution. It also defines properties such as the work directory and the scheduler to use. The specifics will -be explained in more detail in the second part of the tutorial, and can be +be explained in more detail in the second section of the tutorial, and can be ignored for now.

    @@ -1203,7 +1203,7 @@

    Example 3: Analyzin

    Now we can specify that more runs should be performed and that each should run for more timesteps, and produce more that one value each, within a specified range, using command line arguments placed after the Swift script name in the -form -parameterName = value:

    +form -parameterName=value:

    $ swift p3.swift -nsim=3 -steps=10 -values=4 -range=1000000
@@ -1286,21 +1286,21 @@ 
    Example 3: Analyzin
    -

    Tutorial Part Two

    +

    Tutorial Section Two

    When you have access to other resources that you wish to run jobs on, you can simply state -site=XX (where XX is the name of the resource) on the command line following the usual command given to run Swift. With the right configuration specifications, Swift will automatically connect you to the target machine and start the jobs there.

    -

    For example, if you are already logged in to a certain machine and you wish to run +

    For example, if you are already logged in on a certain machine and you wish to run jobs locally, you can do:

    $ swift p1.swift -site=local

    Then Swift will complete the jobs for you on the login node.

    -

    You can use part01-03 to run the same workflows as in Part One on the local +

    You can use part01-03 to run the same workflows as in Section One on the local node as an exercise. You will learn more examples for running on remote sites using part04-06 introduced in the following section.

    @@ -1366,7 +1366,7 @@

    Example 4: Runn line. For example, if you are on Midway, you can run:

    -
    $ swift p4.swift -site=midway-compute
    +
    $ swift p4.swift -site=midway

    The site names can be defined in the Swift’s swift.properties configuration file. The file allows many parameters to specify how jobs should be run on a given site.

    @@ -1375,14 +1375,14 @@

    Example 4: Runn are busy, you may want to modify where you run in the jobQueue specification:

    -
    site.midway-compute {
+
    site.midway {
    jobManager=slurm
    jobQueue=westmere
    tasksPerWorker=4
    initialScore=10000
    filesystem=local
-   jobproject=pi-wilde
-   workdir=/scratch/midway/sophiayang/work
+   jobproject=pi-wilde    # Put your own project ID here
+   workdir=/scratch/midway/$USER/work
 }

    By setting the tasksPerWorker to the desired number of parallel application @@ -1408,10 +1408,12 @@

    Example 4: Runn tasksPerWorker=12 initialScore=10000 filesystem=local - jobproject=pi-wilde - workdir=/scratch/midway/sophiayang/work + jobproject=pi-wilde # Put your own project ID here + workdir=/scratch/midway/$USER/work }

    +

    Note that if you have a different $USER name on your working site from your +local machine, you should change the workdir accordingly to the correct one.

    With the right specifications, you can define your own site using similar property settings. Swift will then be able to run anywhere you want.

    More explanations on setting the configuration file will be found in the User Guide.

    @@ -1423,15 +1425,16 @@

    Example 4: Runn

    Make sure you have passphraseless accesses to all sites to ensure a smooth workflow. This can be done by identifying yourself with -your public key on all remote sites.

    +your public key on all remote sites. Here is a tutorial for doing this: +http://www.unixwiz.net/techtips/ssh-agent-forwarding.html

    Example 5: Controlling the compute-node pools where applications run

    -

    p5.swift is exactly the same as p4.swift with one exception: stats.sh is executed -using sh instead of bash in the analyze application.

    +

    p5.swift is exactly the same as p4.swift with one exception: simulate.sh and stats.sh +are executed using remote_sh and local_sh respectively instead of bash.

    p5.swift
    @@ -1439,12 +1442,12 @@

    Ex app (file out, file log) simulation (int sim_steps, int sim_range, int sim_values, file sim_script) { - bash "simulate.sh" "--timesteps" sim_steps "--range" sim_range "--nvalues" sim_values stdout=@out stderr=@log; + remote_sh "simulate.sh" "--timesteps" sim_steps "--range" sim_range "--nvalues" sim_values stdout=filename(out) stderr=filename(log); } app (file out, file log) analyze (file s[], file stat_script) { - sh "stats.sh" filenames(s) stdout=filename(out) stderr=filename(log); + local_sh "stats.sh" filenames(s) stdout=filename(out) stderr=filename(log); } int nsim = toInt(arg("nsim", "10")); @@ -1467,44 +1470,32 @@

    Ex file stats_log<"output/average.log">; (stats_out, stats_log) = analyze(sims,stats_script);

    -

    This modification can be used to control where you run your applications. Right now Swift will -execute each of the apps on every site where it is able to be located in $PATH. Therefore, -in order to give instructions on where to run each application, you need to define each of the apps -you used inside your application declarations in swift.properties. For example in this case:

    +

    This modification can be used to control where you run your applications. In order to do this, +you need to define each of the apps you used inside your application declarations to specify +where they come from. They should be put in the swift.properties in the following form:

    -
    Definition for app simulation
    -
    app.midway.bash=/bin/bash
    +
    app.<site>.<app_name>=<path_to_executable>
    -

    It indicates that the app bash is located in /bin/bash and Swift -will look for such a file on a site named midway to run the simulation application.

    +

    By setting an "app location" property in the swift.properties, you are explicitly setting the +sites on which the app is allowed to run and the executable to be used on that site. A point +to note is that, if there is no app defined in the swift.properties, Swift will assume that +every app in the Swift script is free to run on all defined sites. But if any single app +is defined in the swift.properties, Swift expects to see app property for every app used. +For example:

    -
    Definition for app analyze
    +
    Definition for app simulation
    -
    app.local.analyze=/bin/sh
    +
    app.midway.remote_sh=/bin/bash
    -

    Similarly, Swift will look for /bin/sh locally to execute the analyze application.

    -

    For another example, let us take another look at p1.swift:

    -
    -
    -
    type file;
-
-app (file o) simulation ()
-{
-  simulate stdout=filename(o);
-}
-
-file f <"sim.out">;
-f = simulation();
    -
    -

    If you define app simulate like this:

    +

    It indicates that the app remote_sh should be executed using /bin/bash and Swift +will look for it on a site named midway to run the simulation application.

    +
    Definition for app analyze
    -
    app.local.simulate=$PWD/simulate.sh
    +
    app.local.local_sh=/bin/bash
    -

    It indicates that the app simulate is located in the file simulate.sh and since -the path simulate.sh is specified with no directory components, Swift expects that -simulate.sh executable will be available in your $PATH.

    +

    Similarly, Swift will look for /bin/sh locally to execute the analyze application.

    Specifying sites in configuration file

    If you are used to running jobs on a fixed combination of sites and don’t want to type out the names every single time, you can also specify them in swift.properties by doing site=XX, XX, ... For example, instead of running:

    @@ -1758,7 +1749,7 @@

    Performing la
    diff --git a/swift-cloud-tutorial/part04/swift.properties b/swift-cloud-tutorial/part04/swift.properties index d826825..bdf34bc 100644 --- a/swift-cloud-tutorial/part04/swift.properties +++ b/swift-cloud-tutorial/part04/swift.properties @@ -41,12 +41,12 @@ site.midway-remote { site.beagle-remote { jobManager=login4.beagle.ci.uchicago.edu:pbs - jobQueue=batch + jobQueue=development tasksPerWorker=24 providerAttributes=pbs.aprun;pbs.mpp;depth=24 initialScore=10000 filesystem=local - # jobproject=CI-CCR000013 + jobproject=CI-CCR000013 jobWalltime=00:10:00 taskWalltime=00:02:00 userHomeOverride=/lustre/beagle/sophiayang From 7b2e1f733aad1ffd43bec7aa799d2d9002988f05 Mon Sep 17 00:00:00 2001 From: Yangxinye Yang Date: Wed, 9 Jul 2014 16:09:42 -0500 Subject: [PATCH 23/34] updating config --- swift-cloud-tutorial/part04/swift.properties | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/swift-cloud-tutorial/part04/swift.properties b/swift-cloud-tutorial/part04/swift.properties index bdf34bc..7ab4a2a 100644 --- a/swift-cloud-tutorial/part04/swift.properties +++ b/swift-cloud-tutorial/part04/swift.properties @@ -19,7 +19,7 @@ site.cloud { workdir=/home/sophiayang/work } -site.midway-compute { +site.midway { jobManager=slurm jobQueue=westmere tasksPerWorker=4 From 17b74a4f940e40892e9678519a489189a2f8a389 Mon Sep 17 00:00:00 2001 From: Yangxinye Yang Date: Thu, 10 Jul 2014 11:32:33 -0500 Subject: [PATCH 24/34] updating --- swift-cloud-tutorial/part05/swift.properties | 60 +++++++++++++++++++- swift-cloud-tutorial/part06/swift.properties | 60 +++++++++++++++++++- 2 files changed, 116 insertions(+), 4 deletions(-) diff --git a/swift-cloud-tutorial/part05/swift.properties b/swift-cloud-tutorial/part05/swift.properties index a897aec..7ab4a2a 100644 --- a/swift-cloud-tutorial/part05/swift.properties +++ b/swift-cloud-tutorial/part05/swift.properties @@ -13,9 +13,65 @@ site.cloud { taskWalltime=04:00:00 initialScore=10000 filesystem=local - jobmanager=coaster-persistent:local:local:http://130.211.176.225:50010 + jobmanager=coaster-persistent:local:local:http://130.211.176.225:50010 workerManager=passive taskThrottle=800 - workdir=/home/yadu/work + workdir=/home/sophiayang/work } +site.midway { + jobManager=slurm + jobQueue=westmere + tasksPerWorker=4 + initialScore=10000 + filesystem=local + jobproject=pi-wilde + workdir=/scratch/midway/sophiayang/work +} + +site.midway-remote { + jobManager=midway.rcc.uchicago.edu:slurm + jobQueue=westmere + tasksPerWorker=12 + initialScore=10000 + filesystem=local + jobproject=pi-wilde + workdir=/scratch/midway/sophiayang/work +} + +site.beagle-remote { + jobManager=login4.beagle.ci.uchicago.edu:pbs + jobQueue=development + tasksPerWorker=24 + providerAttributes=pbs.aprun;pbs.mpp;depth=24 + initialScore=10000 + filesystem=local + jobproject=CI-CCR000013 + jobWalltime=00:10:00 + taskWalltime=00:02:00 + userHomeOverride=/lustre/beagle/sophiayang + workDir=/lustre/beagle/sophiayang +} + +site.osgconnect { + jobManager=condor + initialScore=10000 + tasksPerWorker=1 + jobGranularity=1 + jobType=nonshared + condor.+ProjectName=Swift + workdir=. +} + +site.osgconnect-remote { + jobManager=login.osgconnect.net:condor + initialScore=10000 + tasksPerWorker=1 + jobGranularity=1 + jobType=nonshared + condor.+ProjectName=Swift + workdir=. +} + +#app.local.stats=$PWD/stats.sh +#app.midway.bash=/bin/bash diff --git a/swift-cloud-tutorial/part06/swift.properties b/swift-cloud-tutorial/part06/swift.properties index a897aec..7ab4a2a 100644 --- a/swift-cloud-tutorial/part06/swift.properties +++ b/swift-cloud-tutorial/part06/swift.properties @@ -13,9 +13,65 @@ site.cloud { taskWalltime=04:00:00 initialScore=10000 filesystem=local - jobmanager=coaster-persistent:local:local:http://130.211.176.225:50010 + jobmanager=coaster-persistent:local:local:http://130.211.176.225:50010 workerManager=passive taskThrottle=800 - workdir=/home/yadu/work + workdir=/home/sophiayang/work } +site.midway { + jobManager=slurm + jobQueue=westmere + tasksPerWorker=4 + initialScore=10000 + filesystem=local + jobproject=pi-wilde + workdir=/scratch/midway/sophiayang/work +} + +site.midway-remote { + jobManager=midway.rcc.uchicago.edu:slurm + jobQueue=westmere + tasksPerWorker=12 + initialScore=10000 + filesystem=local + jobproject=pi-wilde + workdir=/scratch/midway/sophiayang/work +} + +site.beagle-remote { + jobManager=login4.beagle.ci.uchicago.edu:pbs + jobQueue=development + tasksPerWorker=24 + providerAttributes=pbs.aprun;pbs.mpp;depth=24 + initialScore=10000 + filesystem=local + jobproject=CI-CCR000013 + jobWalltime=00:10:00 + taskWalltime=00:02:00 + userHomeOverride=/lustre/beagle/sophiayang + workDir=/lustre/beagle/sophiayang +} + +site.osgconnect { + jobManager=condor + initialScore=10000 + tasksPerWorker=1 + jobGranularity=1 + jobType=nonshared + condor.+ProjectName=Swift + workdir=. +} + +site.osgconnect-remote { + jobManager=login.osgconnect.net:condor + initialScore=10000 + tasksPerWorker=1 + jobGranularity=1 + jobType=nonshared + condor.+ProjectName=Swift + workdir=. +} + +#app.local.stats=$PWD/stats.sh +#app.midway.bash=/bin/bash From 460eb5f947cd42b27d285faf3a6e777a86785640 Mon Sep 17 00:00:00 2001 From: Yangxinye Yang Date: Mon, 14 Jul 2014 14:38:49 -0500 Subject: [PATCH 25/34] adding part04_new --- gce-md-demo/src/md/md | Bin 17215 -> 18196 bytes gce-md-demo/test_all.sh | 0 gce-md-demo/tutorial.pptx | Bin 6501926 -> 0 bytes 3 files changed, 0 insertions(+), 0 deletions(-) mode change 100644 => 100755 gce-md-demo/test_all.sh delete mode 100644 gce-md-demo/tutorial.pptx diff --git a/gce-md-demo/src/md/md b/gce-md-demo/src/md/md index 8bff8f4d21df81e0b7f66bb99a5e3571d46d8d6c..e010ca00e2a2c3cd9488e322f0072297231e6f4d 100755 GIT binary patch literal 18196 zcmeHPeRLevb)S``*f=t~qIM7|;DK0023rUkQDet=Wow) z(>nD~Opk+7EboMnHze8)%DrsM3xlJQTJmlH?vTWA->$0fLPm!|EEPS5IW`&{Tx_RSL=2rrh0(9U0)7V`c!`>KV! 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    Example 1: Run a single application under Swift

    -

    The first swift script, p1.swift, runs simulate.sh to generate a +

    The first Swift script, p1.swift, runs simulate.sh to generate a single random number. It writes the number to a file.

    @@ -1316,6 +1316,48 @@

    Tutorial Section Two

    +

    Example 4: Running a simple app on remote node

    +

    In p4.swift, there is a simple app which takes a file containing random numbers and sort them before returning a sorted output. In the part04 +folder we have a file, unsorted.txt, which contains 100 random integers ranging from 0 to 99 and we want to run the job on a remote node.

    +
    +
    p4.swift
    +
    +
    type file;
+
+app (file out) sortdata (file unsorted)
+{
+  sort "--n" "unsorted.txt" stdout=filename(out);
+}
+
+file unsorted <"unsorted.txt">;
+file sorted <"sorted.txt">;
+
+sorted = sortdata(unsorted);
    +
    +

    Since sort has most likely already been implemented on the remote node, all we need to do is send the unsorted.txt to the node and specify the +location where you want to run the job on the command line using -site=XX. After the job completes we will get a +sorted file sorted.txt back to the local machine.

    +

    For example, to run the job remotely on Midway and to view the output:

    +
    +
    +
    $ cd ../part04
+$ swift p4.swift -site=midway-remote
+Swift 0.95 RC6 swift-r7900 cog-r3908
+RunID: run001
+Progress: Mon, 14 Jul 2014 16:29:42-0500
+Progress: Mon, 14 Jul 2014 16:29:43-0500  Submitting:1
+Progress: Mon, 14 Jul 2014 16:29:55-0500  Submitted:1
+Final status:Mon, 14 Jul 2014 16:29:56-0500  Finished successfully:1
+$ cat sorted.txt
+0
+1
+2
+...
+...
+99
    +
    +
    +

    Example 4: Running a parallel ensemble on compute nodes

    p4.swift will run our mock "simulation" applications on compute nodes. The script is almost the same as p3.swift, but specifies that each simulation app invocation should additionally return @@ -1749,7 +1791,7 @@

    Performing la
    From 588d9a493537113164d21ae9edc06e6ad94b8c65 Mon Sep 17 00:00:00 2001 From: Yangxinye Yang Date: Mon, 14 Jul 2014 17:13:03 -0500 Subject: [PATCH 31/34] updating doc --- swift-cloud-tutorial/doc/README | 53 +++++----- swift-cloud-tutorial/doc/README.html | 90 +++++----------- swift-cloud-tutorial/part04/p4.swift | 31 +----- swift-cloud-tutorial/part04/simulate.sh | 1 - swift-cloud-tutorial/part04/stats.sh | 1 - swift-cloud-tutorial/part04_new/.DS_Store | Bin 6148 -> 0 bytes swift-cloud-tutorial/part04_new/p4.swift | 11 -- .../part04_new/swift.properties | 77 -------------- swift-cloud-tutorial/part04_new/unsorted.txt | 100 ------------------ swift-cloud-tutorial/part05/p5.swift | 7 +- swift-cloud-tutorial/part06/p6.swift | 48 ++------- 11 files changed, 73 insertions(+), 346 deletions(-) delete mode 120000 swift-cloud-tutorial/part04/simulate.sh delete mode 120000 swift-cloud-tutorial/part04/stats.sh delete mode 100644 swift-cloud-tutorial/part04_new/.DS_Store delete mode 100644 swift-cloud-tutorial/part04_new/p4.swift delete mode 100644 swift-cloud-tutorial/part04_new/swift.properties delete mode 100644 swift-cloud-tutorial/part04_new/unsorted.txt diff --git a/swift-cloud-tutorial/doc/README b/swift-cloud-tutorial/doc/README index 5ec9fe4..54f61ea 100644 --- a/swift-cloud-tutorial/doc/README +++ b/swift-cloud-tutorial/doc/README @@ -567,14 +567,14 @@ $ cat sorted.txt 99 ----- -Example 4: Running a parallel ensemble on compute nodes +Example 5: Running a parallel ensemble on compute nodes ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ -`p4.swift` will run our mock "simulation" applications on compute nodes. The script is almost the same +`p5.swift` will run our mock "simulation" applications on compute nodes. The script is almost the same as `p3.swift`, but specifies that each `simulation` app invocation should additionally return -the log file which the application writes to `stderr`. +the log file which the application writes to `stderr`. -.p4.swift +.p5.swift ----- type file; @@ -610,7 +610,10 @@ file stats_log<"output/average.log">; (stats_out, stats_log) = analyze(sims, stats_script); ----- -Now when you run `swift p4.swift` you will see that two types of output files will be placed in +Note that since `simulate` and `stats` are no longer in the `$PATH` of the remote site, we need to pass both `simulate.sh` and `stats.sh` as +arguments to the `app`s to send them there and use `bash` to invoke them to be able to use them. + +Now when you run `swift p5.swift` you will see that two types of output files will be placed in the `output/` directory: `sim_N.out` and `sim_N.log`. The log files provide data on the runtime environment of each app invocation. //// @@ -646,14 +649,10 @@ ANT_HOME_modshare=/software/ant-1.8.4-all:3 ----- //// -Note that in the script we use `bash` to invoke `simulate.sh` and `stats.sh` instead of just using `simulate` and -`stats`. This is because `simulate` and `stats` are no longer added to the `$PATH` on the remote site -and we have to manually give the command to execute the bash script. - -In order to run `p4.swift` on compute nodes instead of on the headnode, you can again specify it on the command -line. For example, if you are on Midway, you can run: +In order to run `p5.swift` on compute nodes instead of on the headnode, you can again specify it on the command +line. For example, if you are on Midway, instead of running locally, you can run: ----- -$ swift p4.swift -site=midway +$ swift p5.swift -site=midway ----- The site names can be defined in the Swift's `swift.properties` configuration file. The @@ -685,7 +684,7 @@ full path of the scheduler. For example, if you run: ----- -$ swift p4.swift -site=midway-remote +$ swift p5.swift -site=midway-remote ----- Swift will `ssh` to the target site and start the jobs there. @@ -718,12 +717,12 @@ your public key on all remote sites. Here is a tutorial for doing this: http://www.unixwiz.net/techtips/ssh-agent-forwarding.html ===== -Example 5: Controlling the compute-node pools where applications run +Example 6: Controlling the compute-node pools where applications run ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ -`p5.swift` is exactly the same as `p4.swift` with one exception: `simulate.sh` and `stats.sh` +`p6.swift` is exactly the same as `p5.swift` with one exception: `simulate.sh` and `stats.sh` are executed using `remote_sh` and `local_sh` respectively instead of `bash`. -.p5.swift +.p6.swift ----- type file; @@ -818,7 +817,7 @@ If you are used to running jobs on a fixed combination of sites and don't want t out the names every single time, you can also specify them in `swift.properties` by doing `site=XX, XX, ...` For example, instead of running: ----- -$ swift p5.swift -site=midway-remote,local +$ swift p6.swift -site=midway-remote,local ----- You can just say this in `swift.properties`: ----- @@ -828,10 +827,10 @@ Then if you have defined *all* your `apps` in the configuration file correctly, when you run `swift p5.swift` Swift will execute each of the `apps` on the corresponding site that you specified. -Example 6: Specifying more complex workflow patterns +Example 7: Specifying more complex workflow patterns ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ -`p6.swift` expands the workflow pattern of `p5.swift` to add additional +`p7.swift` expands the workflow pattern of `p6.swift` to add additional stages to the workflow. Here, we generate a dynamic seed value that will be used by all of the simulations to initialize the random number generator, so that there are some dependencies to the numbers being generated. @@ -840,7 +839,7 @@ file" (Remeber the form `(R*scale)+bias`). This pattern is shown below, followed image::part06.png[align="center"] -.p6.swift +.p7.swift ---- type file; @@ -910,14 +909,14 @@ The bias file is computed and then consumed in these two dependent statements: To run: ---- -$ cd ../part06 -$ swift p6.swift +$ cd ../part07 +$ swift p7.swift ---- The default parameters result in the following execution log: ----- -$ swift p6.swift +$ swift p7.swift Swift 0.95 Branch SVN swift-r7903 cog-r3908 RunID: run001 Progress: Thu, 05 Jun 2014 06:01:36-0500 @@ -1017,12 +1016,15 @@ bias values as is needed for each simulation. As a further exercise, modify the script to generate a unique seed value for each simulation, which is a common practice in ensemble computations. +//// +Below is commented out for further use. + Performing larger Swift runs and Plotting run activities ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ To test with larger runs, you can change the command line arguments. The example below will run 1000 simulations with each simulation taking 5 seconds: ----- -$ swift p6.swift -steps=5 -nsim=1000 +$ swift p7.swift -steps=5 -nsim=1000 ----- The tutorial `bin` directory in your `$PATH` provides a script @@ -1053,3 +1055,6 @@ This can thus yield plots like the following: image::activeplot.png[width=700,align=center] image::cumulativeplot.png[width=700,align=center] + +Above is commented out for further use. +//// diff --git a/swift-cloud-tutorial/doc/README.html b/swift-cloud-tutorial/doc/README.html index d5602f5..0c74b77 100644 --- a/swift-cloud-tutorial/doc/README.html +++ b/swift-cloud-tutorial/doc/README.html @@ -1318,7 +1318,7 @@

    Tutorial Section Two

    Example 4: Running a simple app on remote node

    In p4.swift, there is a simple app which takes a file containing random numbers and sort them before returning a sorted output. In the part04 -folder we have a file, unsorted.txt, which contains 100 random integers ranging from 0 to 99 and we want to run the job on a remote node.

    +folder we have a file, unsorted.txt, which contains 100 random integers ranging from 0 to 99 and we wish to run the job on a remote node.

    p4.swift
    @@ -1335,7 +1335,7 @@

    Example 4: Running a sim sorted = sortdata(unsorted);

    Since sort has most likely already been implemented on the remote node, all we need to do is send the unsorted.txt to the node and specify the -location where you want to run the job on the command line using -site=XX. After the job completes we will get a +location where you want to run the job on the command line, using -site=XX. After the job completes we will get a sorted file sorted.txt back to the local machine.

    For example, to run the job remotely on Midway and to view the output:

    @@ -1352,18 +1352,19 @@

    Example 4: Running a sim 0 1 2 +3 ... ... 99

    -

    Example 4: Running a parallel ensemble on compute nodes

    -

    p4.swift will run our mock "simulation" applications on compute nodes. The script is almost the same +

    Example 5: Running a parallel ensemble on compute nodes

    +

    p5.swift will run our mock "simulation" applications on compute nodes. The script is almost the same as p3.swift, but specifies that each simulation app invocation should additionally return the log file which the application writes to stderr.

    -
    p4.swift
    +
    p5.swift
    type file;
 
@@ -1398,17 +1399,16 @@ 
    Example 4: Runn
 file stats_log<"output/average.log">;
 (stats_out, stats_log) = analyze(sims, stats_script);
    -

    Now when you run swift p4.swift you will see that two types of output files will be placed in +

    Note that since simulate and stats are no longer in the $PATH of the remote site, we need to pass both simulate.sh and stats.sh as +arguments to the app`s to send them there and use `bash to invoke them to be able to use them.

    +

    Now when you run swift p5.swift you will see that two types of output files will be placed in the output/ directory: sim_N.out and sim_N.log. The log files provide data on the runtime environment of each app invocation.

    -

    Note that in the script we use bash to invoke simulate.sh and stats.sh instead of just using simulate and -stats. This is because simulate and stats are no longer added to the $PATH on the remote site -and we have to manually give the command to execute the bash script.

    -

    In order to run p4.swift on compute nodes instead of on the headnode, you can again specify it on the command -line. For example, if you are on Midway, you can run:

    +

    In order to run p5.swift on compute nodes instead of on the headnode, you can again specify it on the command +line. For example, if you are on Midway, instead of running locally, you can run:

    -
    $ swift p4.swift -site=midway
    +
    $ swift p5.swift -site=midway

    The site names can be defined in the Swift’s swift.properties configuration file. The file allows many parameters to specify how jobs should be run on a given site.

    @@ -1438,7 +1438,7 @@

    Example 4: Runn

    For example, if you run:

    -
    $ swift p4.swift -site=midway-remote
    +
    $ swift p5.swift -site=midway-remote

    Swift will ssh to the target site and start the jobs there.

    swift.properties will therefore look like this:

    @@ -1474,11 +1474,11 @@

    Example 4: Runn

    -

    Example 5: Controlling the compute-node pools where applications run

    -

    p5.swift is exactly the same as p4.swift with one exception: simulate.sh and stats.sh +

    Example 6: Controlling the compute-node pools where applications run

    +

    p6.swift is exactly the same as p5.swift with one exception: simulate.sh and stats.sh are executed using remote_sh and local_sh respectively instead of bash.

    -
    p5.swift
    +
    p6.swift
    type file;
 
@@ -1543,7 +1543,7 @@ 
    Ex
 by doing site=XX, XX, ... For example, instead of running:
    -
    $ swift p5.swift -site=midway-remote,local
    +
    $ swift p6.swift -site=midway-remote,local

    You can just say this in swift.properties:

    @@ -1555,8 +1555,8 @@

    Ex corresponding site that you specified.

    -

    Example 6: Specifying more complex workflow patterns

    -

    p6.swift expands the workflow pattern of p5.swift to add additional +

    Example 7: Specifying more complex workflow patterns

    +

    p7.swift expands the workflow pattern of p6.swift to add additional stages to the workflow. Here, we generate a dynamic seed value that will be used by all of the simulations to initialize the random number generator, so that there are some dependencies to the numbers being generated. @@ -1568,7 +1568,7 @@

    Example 6: Specify

    -
    p6.swift
    +
    p7.swift
    type file;
 
@@ -1639,13 +1639,13 @@ 
    Example 6: Specify
 
    To run:
    
 
    
 
    
-
    $ cd ../part06
-$ swift p6.swift
    
+
    $ cd ../part07
+$ swift p7.swift
    
 
    
 
    The default parameters result in the following execution log:
    
 
    
 
    
-
    $ swift p6.swift
+
    $ swift p7.swift
 Swift 0.95 Branch SVN swift-r7903 cog-r3908
 RunID: run001
 Progress: Thu, 05 Jun 2014 06:01:36-0500
@@ -1743,55 +1743,13 @@ 
    Example 6: Specify
 modify the script to generate a unique seed value for each simulation,
 which is a common practice in ensemble computations.
    
 
    
-
    
-
    Performing larger Swift runs and Plotting run activities
    
-
    To test with larger runs, you can change the command line arguments. The
-example below will run 1000 simulations with each simulation taking 5 seconds:
    
-
    
-
    
-
    $ swift p6.swift -steps=5 -nsim=1000
    
-
    
-
    The tutorial bin directory in your $PATH provides a script
-plot.sh to plot the progress of a Swift script.  It generates two
-image files: activeplot.png, which shows the number of active jobs
-over time, and cumulativeplot.png, which shows the total number of
-app calls completed as the Swift script progresses.
    
-
    After each Swift run, a new run directory is created called runNNN.
-Each run directory will have a log file with a similar name called
-runNNN.log. Once you have identified the log file name, run the
-command plot.sh <logfile> to generate the plots for that
-specific run. For example:
    
-
    
-
    
-
    $ ls
-output  p3.swift  run000  swift.properties
-
-$ cd run000/
-
-$ ls
-apps  cf  p3-20131202-2004-0kh4ha6e.d  run000.log  sites.xml
-
-$ plot.sh run000.log
    
-
    
-
    This can thus yield plots like the following:
    
-
    
-
    
-width=700
-
    
-
    
-
    
-
    
-width=700
-
    
-
    
-
    diff --git a/swift-cloud-tutorial/part04/p4.swift b/swift-cloud-tutorial/part04/p4.swift index 2272e9a..ab6873c 100644 --- a/swift-cloud-tutorial/part04/p4.swift +++ b/swift-cloud-tutorial/part04/p4.swift @@ -1,32 +1,11 @@ type file; -app (file out, file log) simulation (int sim_steps, int sim_range, int sim_values, file sim_script) +app (file out) sortdata (file unsorted) { - bash "simulate.sh" "--timesteps" sim_steps "--range" sim_range "--nvalues" sim_values stdout=@out stderr=@log; + sort "--n" "unsorted.txt" stdout=filename(out); } -app (file out, file log) analyze (file s[], file stat_script) -{ - bash "stats.sh" filenames(s) stdout=@out stderr=@log; -} - -int nsim = toInt(arg("nsim", "10")); -int steps = toInt(arg("steps", "1")); -int range = toInt(arg("range", "100")); -int values = toInt(arg("values", "5")); - -file simulate_script <"simulate.sh">; -file stats_script <"stats.sh">; - -file sims[]; - -foreach i in [0:nsim-1] { - file simout ; - file simlog ; - (simout,simlog) = simulation(steps,range,values,simulate_script); - sims[i] = simout; -} +file unsorted <"unsorted.txt">; +file sorted <"sorted.txt">; -file stats_out<"output/average.out">; -file stats_log<"output/average.log">; -(stats_out, stats_log) = analyze(sims, stats_script); +sorted = sortdata(unsorted); diff --git a/swift-cloud-tutorial/part04/simulate.sh b/swift-cloud-tutorial/part04/simulate.sh deleted file mode 120000 index de2443e..0000000 --- a/swift-cloud-tutorial/part04/simulate.sh +++ /dev/null @@ -1 +0,0 @@ -../app/simulate.sh \ No newline at end of file diff --git a/swift-cloud-tutorial/part04/stats.sh b/swift-cloud-tutorial/part04/stats.sh deleted file mode 120000 index d085d2e..0000000 --- a/swift-cloud-tutorial/part04/stats.sh +++ /dev/null @@ -1 +0,0 @@ -../app/stats.sh \ No newline at end of file diff --git a/swift-cloud-tutorial/part04_new/.DS_Store b/swift-cloud-tutorial/part04_new/.DS_Store deleted file mode 100644 index 3ecdb5037dbaed863e10d9a8e8a898e1cf766013..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 6148 zcmeHK%We}f6unN;G!rTqBo<{i5(`*FRnk+u^n!`?w$R(l@5@Vr^Y=Ln* zr#Z`+8g>>cMnoeD=qbf?X^w3xtO8bn|4jkjyJhUwK5fwkCHC*_o;>h-(nmXUZXsQn zDMN{9h1%dt8dAK3Sv0Yq(+lb?;g+)Rk>P*OyoHnH(^1+(+=IvG#Cy+syk6ju9BGjT z7;8u!jQ1eJJ?8geHD)v9M5{?IWg_PugTd^AVRPgmB3JRNr6Vi7lkc76Zl<|obMSU}mKm2|#h~jGXSmg4BmEvm2ahx^h>^bLA>rjqbaXTJH&Gz6SKizG|hrTJ_ zm$LV#-1Z*?-O;{#;f4(3b`W+4$~owCLD}04!j2p@oFZ=SGm%h=Q3|JcN2SO1FLd? z2z~f-lmHlI`s9_IoZmII5|;Lx`w73~>cr!T&1hLVbK(fr(JEjSIIRls_rXJAY#5ws zRG$uH>IwiXpjsKq{C9zUJcA8`Q;leW3GE8huEJa~gmy>0XLt>RQ;pi4gt>eO)3Y!) z6rp-Yd{5CyG&I`WDqs~zE0EWZE}#E5|9<~ZJJ~0zfK}jBDIf|vt(_)@WX{&P!SPw^ uAw5B2W8PGwazSQ}V^!dzcpXU@+B_}*8wRHuQ3JDo1e6RmvkLrE1%3ez(*6(t diff --git a/swift-cloud-tutorial/part04_new/p4.swift b/swift-cloud-tutorial/part04_new/p4.swift deleted file mode 100644 index ab6873c..0000000 --- a/swift-cloud-tutorial/part04_new/p4.swift +++ /dev/null @@ -1,11 +0,0 @@ -type file; - -app (file out) sortdata (file unsorted) -{ - sort "--n" "unsorted.txt" stdout=filename(out); -} - -file unsorted <"unsorted.txt">; -file sorted <"sorted.txt">; - -sorted = sortdata(unsorted); diff --git a/swift-cloud-tutorial/part04_new/swift.properties b/swift-cloud-tutorial/part04_new/swift.properties deleted file mode 100644 index 7ab4a2a..0000000 --- a/swift-cloud-tutorial/part04_new/swift.properties +++ /dev/null @@ -1,77 +0,0 @@ -site=cloud,local -use.provider.staging=true -execution.retries=2 - -site.local { - jobmanager=local - initialScore=10000 - filesystem=local - workdir=/tmp/swiftwork -} - -site.cloud { - taskWalltime=04:00:00 - initialScore=10000 - filesystem=local - jobmanager=coaster-persistent:local:local:http://130.211.176.225:50010 - workerManager=passive - taskThrottle=800 - workdir=/home/sophiayang/work -} - -site.midway { - jobManager=slurm - jobQueue=westmere - tasksPerWorker=4 - initialScore=10000 - filesystem=local - jobproject=pi-wilde - workdir=/scratch/midway/sophiayang/work -} - -site.midway-remote { - jobManager=midway.rcc.uchicago.edu:slurm - jobQueue=westmere - tasksPerWorker=12 - initialScore=10000 - filesystem=local - jobproject=pi-wilde - workdir=/scratch/midway/sophiayang/work -} - -site.beagle-remote { - jobManager=login4.beagle.ci.uchicago.edu:pbs - jobQueue=development - tasksPerWorker=24 - providerAttributes=pbs.aprun;pbs.mpp;depth=24 - initialScore=10000 - filesystem=local - jobproject=CI-CCR000013 - jobWalltime=00:10:00 - taskWalltime=00:02:00 - userHomeOverride=/lustre/beagle/sophiayang - workDir=/lustre/beagle/sophiayang -} - -site.osgconnect { - jobManager=condor - initialScore=10000 - tasksPerWorker=1 - jobGranularity=1 - jobType=nonshared - condor.+ProjectName=Swift - workdir=. -} - -site.osgconnect-remote { - jobManager=login.osgconnect.net:condor - initialScore=10000 - tasksPerWorker=1 - jobGranularity=1 - jobType=nonshared - condor.+ProjectName=Swift - workdir=. -} - -#app.local.stats=$PWD/stats.sh -#app.midway.bash=/bin/bash diff --git a/swift-cloud-tutorial/part04_new/unsorted.txt b/swift-cloud-tutorial/part04_new/unsorted.txt deleted file mode 100644 index 3946f0c..0000000 --- a/swift-cloud-tutorial/part04_new/unsorted.txt +++ /dev/null @@ -1,100 +0,0 @@ -7 -49 -73 -58 -30 -72 -44 -78 -23 -9 -40 -65 -92 -42 -87 -3 -27 -29 -12 -69 -57 -60 -33 -99 -16 -35 -97 -26 -67 -10 -79 -21 -93 -36 -85 -45 -28 -91 -94 -1 -53 -8 -68 -90 -24 -96 -22 -66 -77 -98 -81 -13 -14 -63 -25 -15 -17 -95 -5 -4 -51 -88 -82 -52 -37 -38 -71 -31 -75 -6 -62 -19 -54 -89 -70 -20 -34 -50 -59 -47 -39 -11 -18 -61 -76 -74 -56 -84 -55 -80 -2 -0 -64 -48 -83 -46 -43 -32 -41 -86 diff --git a/swift-cloud-tutorial/part05/p5.swift b/swift-cloud-tutorial/part05/p5.swift index c87701e..2272e9a 100644 --- a/swift-cloud-tutorial/part05/p5.swift +++ b/swift-cloud-tutorial/part05/p5.swift @@ -7,7 +7,7 @@ app (file out, file log) simulation (int sim_steps, int sim_range, int sim_value app (file out, file log) analyze (file s[], file stat_script) { - sh "stats.sh" filenames(s) stdout=@out stderr=@log; + bash "stats.sh" filenames(s) stdout=@out stderr=@log; } int nsim = toInt(arg("nsim", "10")); @@ -15,10 +15,11 @@ int steps = toInt(arg("steps", "1")); int range = toInt(arg("range", "100")); int values = toInt(arg("values", "5")); -file sims[]; file simulate_script <"simulate.sh">; file stats_script <"stats.sh">; +file sims[]; + foreach i in [0:nsim-1] { file simout ; file simlog ; @@ -28,4 +29,4 @@ foreach i in [0:nsim-1] { file stats_out<"output/average.out">; file stats_log<"output/average.log">; -(stats_out, stats_log) = analyze(sims,stats_script); +(stats_out, stats_log) = analyze(sims, stats_script); diff --git a/swift-cloud-tutorial/part06/p6.swift b/swift-cloud-tutorial/part06/p6.swift index 6acc4b6..c87701e 100644 --- a/swift-cloud-tutorial/part06/p6.swift +++ b/swift-cloud-tutorial/part06/p6.swift @@ -1,23 +1,8 @@ type file; -# app() functions for application programs to be called: - -app (file out) genseed (int nseeds, file seed_script) -{ - sh "simulate.sh" "-r" 2000000 "-n" nseeds stdout=@out; -} - -app (file out) genbias (int bias_range, int nvalues, file bias_script) +app (file out, file log) simulation (int sim_steps, int sim_range, int sim_values, file sim_script) { - sh "simulate.sh" "-r" bias_range "-n" nvalues stdout=@out; -} - -app (file out, file log) simulation (int timesteps, int sim_range, - file bias_file, int scale, int sim_count, - file sim_script, file seed_file) -{ - sh "simulate.sh" "-t" timesteps "-r" sim_range "-B" @bias_file "-x" scale - "-n" sim_count "-S" @seed_file stdout=@out stderr=@log; + bash "simulate.sh" "--timesteps" sim_steps "--range" sim_range "--nvalues" sim_values stdout=@out stderr=@log; } app (file out, file log) analyze (file s[], file stat_script) @@ -25,33 +10,22 @@ app (file out, file log) analyze (file s[], file stat_script) sh "stats.sh" filenames(s) stdout=@out stderr=@log; } -# Command line arguments - -int nsim = toInt(arg("nsim", "10")); # number of simulation programs to run -int steps = toInt(arg("steps", "1")); # number of timesteps (seconds) per simulation -int range = toInt(arg("range", "100")); # range of the generated random numbers -int values = toInt(arg("values", "10")); # number of values generated per simulation - -# Main script and data +int nsim = toInt(arg("nsim", "10")); +int steps = toInt(arg("steps", "1")); +int range = toInt(arg("range", "100")); +int values = toInt(arg("values", "5")); +file sims[]; file simulate_script <"simulate.sh">; file stats_script <"stats.sh">; -file seedfile <"output/seed.dat">; # Dynamically generated bias for simulation ensemble - -tracef("\n*** Script parameters: nsim=%i range=%i num values=%i\n\n", nsim, range, values); -seedfile = genseed(1,simulate_script); - -file sims[]; # Array of files to hold each simulation output foreach i in [0:nsim-1] { - file biasfile ; - file simout ; - file simlog ; - biasfile = genbias(1000, 20, simulate_script); - (simout,simlog) = simulation(steps, range, biasfile, 1000000, values, simulate_script, seedfile); + file simout ; + file simlog ; + (simout,simlog) = simulation(steps,range,values,simulate_script); sims[i] = simout; } file stats_out<"output/average.out">; file stats_log<"output/average.log">; -(stats_out,stats_log) = analyze(sims, stats_script); +(stats_out, stats_log) = analyze(sims,stats_script); From 93aa6123f6cd73e650d0820b34841ebaadbc876d Mon Sep 17 00:00:00 2001 From: Yangxinye Yang Date: Mon, 14 Jul 2014 17:17:07 -0500 Subject: [PATCH 32/34] updating doc --- swift-cloud-tutorial/part07/.DS_Store | Bin 0 -> 6148 bytes swift-cloud-tutorial/part07/p7.swift | 57 ++++++++++++++ swift-cloud-tutorial/part07/simulate.sh | 1 + swift-cloud-tutorial/part07/stats.sh | 1 + swift-cloud-tutorial/part07/swift.properties | 77 +++++++++++++++++++ 5 files changed, 136 insertions(+) create mode 100644 swift-cloud-tutorial/part07/.DS_Store create mode 100644 swift-cloud-tutorial/part07/p7.swift create mode 120000 swift-cloud-tutorial/part07/simulate.sh create mode 120000 swift-cloud-tutorial/part07/stats.sh create mode 100644 swift-cloud-tutorial/part07/swift.properties diff --git a/swift-cloud-tutorial/part07/.DS_Store b/swift-cloud-tutorial/part07/.DS_Store new file mode 100644 index 0000000000000000000000000000000000000000..a9953b15628c87b4910d658f9ad61d85264967b9 GIT binary patch literal 6148 zcmeHKyH3ME5ZpCUQ2I0YC_aD>;6K9b-YNL( z&`=~&olQJN4Xpk@wB>`5RHf^MhZp)lr168B|8!M7SXZxQBirC7uWN=n0MIL z@E0ABch{$a@aAYKwekMsOYw$$U2Ev{`(Pc?9^KOei#zb#6+P2}ZZX13sE9tG z7&m&4p*TYC8%4+`8DWg%^%_-X{)9O{(mpf(73{|Q8)iyq#wPrN>S||8RtffHBfF(xHXcdmf?=3xUEzALPz#RCI1K6`A z;-N#U=72e14s0Bd--iS#n0l-o>Q4uX9sz(oG;82m{x*sx@tAt79pVXsofPP#?2j1i z; +file stats_script <"stats.sh">; +file seedfile <"output/seed.dat">; # Dynamically generated bias for simulation ensemble + +tracef("\n*** Script parameters: nsim=%i range=%i num values=%i\n\n", nsim, range, values); +seedfile = genseed(1,simulate_script); + +file sims[]; # Array of files to hold each simulation output + +foreach i in [0:nsim-1] { + file biasfile ; + file simout ; + file simlog ; + biasfile = genbias(1000, 20, simulate_script); + (simout,simlog) = simulation(steps, range, biasfile, 1000000, values, simulate_script, seedfile); + sims[i] = simout; +} + +file stats_out<"output/average.out">; +file stats_log<"output/average.log">; +(stats_out,stats_log) = analyze(sims, stats_script); diff --git a/swift-cloud-tutorial/part07/simulate.sh b/swift-cloud-tutorial/part07/simulate.sh new file mode 120000 index 0000000..de2443e --- /dev/null +++ b/swift-cloud-tutorial/part07/simulate.sh @@ -0,0 +1 @@ +../app/simulate.sh \ No newline at end of file diff --git a/swift-cloud-tutorial/part07/stats.sh b/swift-cloud-tutorial/part07/stats.sh new file mode 120000 index 0000000..d085d2e --- /dev/null +++ b/swift-cloud-tutorial/part07/stats.sh @@ -0,0 +1 @@ +../app/stats.sh \ No newline at end of file diff --git a/swift-cloud-tutorial/part07/swift.properties b/swift-cloud-tutorial/part07/swift.properties new file mode 100644 index 0000000..7ab4a2a --- /dev/null +++ b/swift-cloud-tutorial/part07/swift.properties @@ -0,0 +1,77 @@ +site=cloud,local +use.provider.staging=true +execution.retries=2 + +site.local { + jobmanager=local + initialScore=10000 + filesystem=local + workdir=/tmp/swiftwork +} + +site.cloud { + taskWalltime=04:00:00 + initialScore=10000 + filesystem=local + jobmanager=coaster-persistent:local:local:http://130.211.176.225:50010 + workerManager=passive + taskThrottle=800 + workdir=/home/sophiayang/work +} + +site.midway { + jobManager=slurm + jobQueue=westmere + tasksPerWorker=4 + initialScore=10000 + filesystem=local + jobproject=pi-wilde + workdir=/scratch/midway/sophiayang/work +} + +site.midway-remote { + jobManager=midway.rcc.uchicago.edu:slurm + jobQueue=westmere + tasksPerWorker=12 + initialScore=10000 + filesystem=local + jobproject=pi-wilde + workdir=/scratch/midway/sophiayang/work +} + +site.beagle-remote { + jobManager=login4.beagle.ci.uchicago.edu:pbs + jobQueue=development + tasksPerWorker=24 + providerAttributes=pbs.aprun;pbs.mpp;depth=24 + initialScore=10000 + filesystem=local + jobproject=CI-CCR000013 + jobWalltime=00:10:00 + taskWalltime=00:02:00 + userHomeOverride=/lustre/beagle/sophiayang + workDir=/lustre/beagle/sophiayang +} + +site.osgconnect { + jobManager=condor + initialScore=10000 + tasksPerWorker=1 + jobGranularity=1 + jobType=nonshared + condor.+ProjectName=Swift + workdir=. +} + +site.osgconnect-remote { + jobManager=login.osgconnect.net:condor + initialScore=10000 + tasksPerWorker=1 + jobGranularity=1 + jobType=nonshared + condor.+ProjectName=Swift + workdir=. +} + +#app.local.stats=$PWD/stats.sh +#app.midway.bash=/bin/bash From 766b75bef25c26986e5e9071a6b6c58954e93602 Mon Sep 17 00:00:00 2001 From: Yangxinye Yang Date: Mon, 14 Jul 2014 17:30:26 -0500 Subject: [PATCH 33/34] updating doc --- swift-cloud-tutorial/doc/README | 2 +- swift-cloud-tutorial/part04/p4.swift | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/swift-cloud-tutorial/doc/README b/swift-cloud-tutorial/doc/README index 54f61ea..5acb7bf 100644 --- a/swift-cloud-tutorial/doc/README +++ b/swift-cloud-tutorial/doc/README @@ -534,7 +534,7 @@ type file; app (file out) sortdata (file unsorted) { - sort "--n" "unsorted.txt" stdout=filename(out); + sort "-n" "unsorted.txt" stdout=filename(out); } file unsorted <"unsorted.txt">; diff --git a/swift-cloud-tutorial/part04/p4.swift b/swift-cloud-tutorial/part04/p4.swift index ab6873c..f3e88e4 100644 --- a/swift-cloud-tutorial/part04/p4.swift +++ b/swift-cloud-tutorial/part04/p4.swift @@ -2,7 +2,7 @@ type file; app (file out) sortdata (file unsorted) { - sort "--n" "unsorted.txt" stdout=filename(out); + sort "-n" "unsorted.txt" stdout=filename(out); } file unsorted <"unsorted.txt">; From e8e6ec9ca4ba34b43182ac9452c96cf47405be3a Mon Sep 17 00:00:00 2001 From: Yangxinye Yang Date: Mon, 14 Jul 2014 17:33:51 -0500 Subject: [PATCH 34/34] updating doc --- swift-cloud-tutorial/part04/unsorted.txt | 100 +++++++++++++++++++++++ 1 file changed, 100 insertions(+) create mode 100644 swift-cloud-tutorial/part04/unsorted.txt diff --git a/swift-cloud-tutorial/part04/unsorted.txt b/swift-cloud-tutorial/part04/unsorted.txt new file mode 100644 index 0000000..3946f0c --- /dev/null +++ b/swift-cloud-tutorial/part04/unsorted.txt @@ -0,0 +1,100 @@ +7 +49 +73 +58 +30 +72 +44 +78 +23 +9 +40 +65 +92 +42 +87 +3 +27 +29 +12 +69 +57 +60 +33 +99 +16 +35 +97 +26 +67 +10 +79 +21 +93 +36 +85 +45 +28 +91 +94 +1 +53 +8 +68 +90 +24 +96 +22 +66 +77 +98 +81 +13 +14 +63 +25 +15 +17 +95 +5 +4 +51 +88 +82 +52 +37 +38 +71 +31 +75 +6 +62 +19 +54 +89 +70 +20 +34 +50 +59 +47 +39 +11 +18 +61 +76 +74 +56 +84 +55 +80 +2 +0 +64 +48 +83 +46 +43 +32 +41 +86