8000 [$] Optimize NumPy SIMD algorithms for Power VSX · Issue #13393 · numpy/numpy · GitHub
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[$] Optimize NumPy SIMD algorithms for Power VSX #13393
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@edelsohn

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@edelsohn

NumPy contains SIMD vectorized code for x86 SSE and AVX. This issue is a feature request to implement native, equivalent enablement for Power VSX, achieving equivalent speedup appropriate for the SIMD vector width of VSX (128 bits).

EDIT (by @rgommers): link to bounty: https://www.bountysource.com/issues/73221262-optimize-numpy-simd-algorithms-for-power-vsx

The focus is PPC64LE Linux. If the optimization can be portable to AIX (big endian) that's great, but not a strict requirement. In other words, if AIX continues to use the scalar code for now, that's okay.

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