Instructor Notes

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An introduction to parallelism

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A GPU Deep Dive

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CuPy: A Numpy-like GPU experience

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Writing your first GPU kernels

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Optimisation

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Instructor Note

Like with the DFT, this would be two-fold operation: a broadcasting operation that would produce a 3-dimensional array, following by a reduction along one axis. The sheer amount of data would mean this would not fit in memory. Some mitigations include:

• Batching the data by repeatedly processing bounded chunks of the input data that will fit in memory
• Or alternatively, processing all input data but for a limited number of pixels at a time, and iterating over the full image from in Python

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