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Fast generate-implant-diffusion.py #5
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…tions. Instead, parallelize over chunks of num_threads
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… memory (due to extremely large gaussian kernel)
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…oid having boundary checks in the critical loops.
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…ct that it's meant as thread id.
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Should be placed in a configuration somewhere, so that if it's updated, it's applied across.
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… optimized 1d diffusions for each axis.
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… into one that decomposes all axes, rather than just z.
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…cit inside the explicit threads.
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…ointers, they are swapped across threads. This won't work when double buffering, since 1. they will be swapped num_threads times, and 2. is not thread safe.
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…out-of-core diffusion implementation.
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Currently, the diffusion field generation (for use in the field histogramming) is written in Python using scipy.ndimage, and is very slow. But really, shouldn't it be fast? I believe that it should.
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