ENH: Optimize LUT with transposed loads and 4-way row unrolling#7
Merged
Mousius merged 1 commit intonumpy:mainfrom Jan 5, 2026
Merged
ENH: Optimize LUT with transposed loads and 4-way row unrolling#7Mousius merged 1 commit intonumpy:mainfrom
Mousius merged 1 commit intonumpy:mainfrom
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This patch add several improvements to the Lookup Table (LUT) for non-scalable architectures. - **Transposed loads:** Introduced a pre-calculated transposed storage (`trans_`) and loading strategy. This allows using optimized interleaved loads (X2 and X4) when vector lanes match the blocking factor, reducing the need for expensive gather operations. - **FourTablesLookup:** Handle case where the vector length is exactly one-quarter of the table width using 4-way table lookups. Maintenance: - Removed runtime specializations for scalable extensions. These now explicitly fallback to Highway's `GatherIndex` (no performance gain on SVE).
Mousius
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Jan 5, 2026
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Looks good to me @seiko2plus! One future thought is likely to stop using |
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This patch add several improvements to the Lookup Table (LUT) for non-scalable architectures.
trans_) and loading strategy. This allows using optimized interleaved loads (X2 and X4) when vector lanes match the blocking factor, reducing the need for expensive gather operations.Maintenance:
GatherIndex(no performance gain on SVE).