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description: An open-source library for ultrasound modelling and tomography that provides flexibility and scalability together with production-grade performance.
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			<h1 class="editable">Accelerating ultrasound research</h1>
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				An open-source library for ultrasound modelling and tomography that provides flexibility and scalability together with production-grade performance.
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			<div class="cta button alt"><a href="#install">Get started</a></div>
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			<h2 class="editable">Key features</h2>

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					<h3 class="editable">High-performance</h3>
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						Stride provides CPU- and GPU-ready finite-difference solvers, including variable sound speed, density,
						and attenuation and off-grid sources and receivers.
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					<h3 class="editable">Intuitive</h3>
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						Easily prototype tomography algorithms with automatic gradient calculations, state-of-the-art
						reconstruction algorithms, and the flexibility to (re)define every step.
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					<h3 class="editable">Flexible</h3>
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						Stride integrates with <a href="https://www.devitoproject.org/" target="_blank">Devito</a>, allowing you to add new physics
						using math-like symbolic expressions that will automatically run on both CPUs and GPUs.
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					<h3 class="editable">Scalable</h3>
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						With Mosaic, its custom parallelisation library, Stride can scale seamlessly from a local workstation,
						to an HPC cluster with production-grade performance.
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			<h2 class="editable">Install Stride</h2>

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						Jump right in using a Jupyter notebook directly in your browser with <a href="https://mybinder.org/v2/gh/trustimaging/stride/HEAD" target="_blank">binder</a>.
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						Otherwise, the recommended way to install Stride is through Anaconda's package manager (version >=4.9), which can be downloaded
						in <a href="https://www.continuum.io/downloads" target="_blank">Anaconda</a> or <a href="https://conda.io/miniconda.html" target="_blank">Miniconda</a>.
						A Python version above 3.8 is recommended to run Stride.
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						To install Stride, follow these steps:
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					{% highlight sh %}
git clone https://github.com/trustimaging/stride
cd stride
conda env create -f environment.yml
conda activate stride
pip install -e .
					{% endhighlight %}
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						You can also start using Stride through Docker:
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					{% highlight sh %}
git clone https://github.com/trustimaging/stride.git
cd stride
docker-compose up stride
					{% endhighlight %}
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						which will start a Jupyter server within the Docker container and display a URL on
						your terminal that looks something like <a href="#">https://127.0.0.1:8888/?token=XXX</a>.
						To access the server, copy-paste the URL shown on the terminal into your browser to start a new
						Jupyter session.
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			<h2 class="editable">Join the community</h2>

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						Join the Stride community to share your projects, contribute, and get your questions answered.
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				<a href="https://join.slack.com/t/stridecodes/shared_invite/zt-xr1dlqv7-Lesu9nFYOqF~AjA6VPUdhw" target="_blank">
					<img src="/images/slack.png" alt="Slack">

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						Join the conversation and share your questions and comments.
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				<a href="https://github.com/trustimaging/stride" target="_blank">
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					<h3 class="editable">GitHub</h3>
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						Stay up to date with the latest Stride features.
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				<a href="https://docs.stride.codes" target="_blank">
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					<h3 class="editable">Documentation</h3>
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						Check our Stride documentation and examples.
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