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perf(compute): tile checked lane kernels consistently - #10299

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ct/checked-lane-chunks

Revert "perf(compute): specialize checked chunks by lane count"

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CodSpeed / CodSpeed Performance Analysis failed Oct 5, 2026

9 benchmarks regressed

⚠️ Unknown Walltime execution environment detected

Using the Walltime instrument on standard Hosted Runners will lead to inconsistent data.

For the most accurate results, we recommend using CodSpeed Macro Runners: bare-metal machines fine-tuned for performance measurement consistency.

⚠️ Different runtime environments detected

Some benchmarks with significant performance changes were compared across different runtime environments,
which may affect the accuracy of the results.

Open the report in CodSpeed to investigate

⚡ 17 improved benchmarks
❌ 9 regressed benchmarks
✅ 2079 untouched benchmarks
⏩ 503 skipped benchmarks1

Warning

Please fix the performance issues or acknowledge them on CodSpeed.

Performance Changes

Mode Benchmark BASE HEAD Efficiency
❌ WallTime mul_u16_nonnull_avx2 11.2 µs 20.8 µs -45.9%
❌ WallTime mul_u16_nonnull_avx512 11.3 µs 19.5 µs -42.22%
❌ WallTime mul_u8_nonnull_avx512 22.5 µs 29.7 µs -24.41%
❌ WallTime mul_u32_nonnull_avx2 12.8 µs 16.9 µs -24.07%
❌ WallTime mul_u8_nonnull_avx2 20.5 µs 26 µs -20.94%
❌ WallTime add_u32_nonnull_avx2 13 µs 15.4 µs -15.86%
❌ WallTime mul_u32_nonnull_avx512 12 µs 13.8 µs -13.33%
❌ WallTime add_u32_nonnull_neon 13.5 µs 15.5 µs -12.93%
❌ WallTime add_i32_nonnull_avx512 12 µs 13.5 µs -10.9%
⚡ WallTime mul_u64_nonnull_avx512 52.7 µs 29 µs +81.43%
⚡ WallTime mul_i32_nonnull_avx2 32.7 µs 18.1 µs +80.4%
⚡ WallTime mul_i32_nullable_avx2 33.8 µs 19.3 µs +74.94%
⚡ WallTime mul_u64_nonnull_neon 39.4 µs 24.7 µs +59.27%
⚡ WallTime mul_i16_nonnull_avx2 29.2 µs 21.5 µs +35.84%
⚡ WallTime multiply_shapes_neon[(32768, PerRowPerRow)] 38.9 µs 30.2 µs +29.02%
⚡ WallTime mul_i64_nonnull_neon 38.6 µs 30.2 µs +27.71%
⚡ WallTime mul_i8_nonnull_avx2 29.9 µs 24.7 µs +20.89%
⚡ WallTime add_constant_shapes_avx2[(32768, PerRowConstant)] 12.3 µs 10.9 µs +12.67%
⚡ WallTime add_constant_shapes_avx2[(32768, ConstantPerRow)] 12.3 µs 10.9 µs +12.39%
⚡ WallTime mul_i8_nonnull_neon 25.6 µs 22.8 µs +12.19%
... ... ... ... ... ...

ℹ️ Only the first 20 benchmarks are displayed. Go to the app to view all benchmarks.

Tip

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Comparing ct/checked-lane-chunks (47db41a) with develop (80aaa32)2

Open in CodSpeed

Footnotes

  1. 503 benchmarks were skipped, so the baseline results were used instead. If they were deleted from the codebase, click here and archive them to remove them from the performance reports. ↩

  2. No successful run was found on develop (23a59e3) during the generation of this report, so 80aaa32 was used instead as the comparison base. There might be some changes unrelated to this pull request in this report. ↩