Fix Type Error When Launching Kernel on GPU in Mandelbrot Example#8
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Add a Jupyter notebook implementing a Mandelbrot set visualization using CUDA acceleration via Numba. The implementation includes: - A device function for point-wise Mandelbrot set calculation - A CUDA kernel for parallel computation across the image - Efficient memory management with GPU arrays - Configuration for thread blocks and grid dimensions - Performance timing and visualization using matplotlib This provides a modern, optimized example of GPU-accelerated fractal generation suitable for current Python and Numba versions.
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Pull Request Description
Title: Fix Type Error launching kernel on GPU for
mandelbrot_numba.ipynbRelated Issue: #3 - Type Error launching kernel on GPU
Fixes #3
Overview:
This pull request addresses the Type Error encountered by Scott Wenzel while trying to run the
mandelbrot_numba.ipynbnotebook. The error occurred when launching the kernel on a GPU due to compatibility issues with the code.Summary of Changes:
Compatibility Update:
print()function.CUDA Kernel Implementation:
mandel_gpufunction, allowing themandelfunction to operate directly as a device function.Dynamic Grid/Block Calculation:
Fixed Notebook:
mandelbrot_numba_fixed.ipynb. Users can run this updated notebook after ensuring that the following dependencies are installed:Final Note:
This update resolves the issue related to the "CPUDispatcher object has no attribute 'func_globals'", and adheres to current best practices for using CUDA with Numba.
Fixes #3.
If there are any further questions or if you need clarification regarding the changes made, please do not hesitate to reach out!
Thank you for your attention to this matter!