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Make sure I'm not killing performance in using smaller dtypes #15

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endolith opened this issue Oct 5, 2022 · 1 comment
Open

Make sure I'm not killing performance in using smaller dtypes #15

endolith opened this issue Oct 5, 2022 · 1 comment

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@endolith
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endolith commented Oct 5, 2022

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@endolith
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endolith commented Oct 5, 2022

Generally should use float64/int64 or float32/int32 (SIMD) for speed? Not uint8 or whatever. Deal with memory usage by chunking, not by using weird types.

Default on work computer is np.int32 and np.float64

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