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perf(runend): Scan short-run filter masks sequentially - #9763

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perf(runend): Scan short-run filter masks sequentially#9763
lwwmanning wants to merge 3 commits into
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wm/runend-filtering

bench(runend): Calibrate sequential filter scans

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CodSpeed HQ / CodSpeed Performance Analysis failed Sep 4, 2026 in 0s

5 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

⚡ 6 improved benchmarks
❌ 5 regressed benchmarks
✅ 2188 untouched benchmarks
🆕 84 new benchmarks
⏩ 206 skipped benchmarks1

Warning

Please fix the performance issues or acknowledge them on CodSpeed.

Performance Changes

Mode Benchmark BASE HEAD Efficiency
❌ Simulation filter_run_end[len=16384_run=16_density=0.1] 131.4 µs 175.2 µs -24.98%
❌ Simulation random_i16[0.95] 76.6 µs 94.7 µs -19.12%
❌ Simulation filter_run_end[len=16384_run=16_density=0.9] 130.8 µs 159.4 µs -17.95%
❌ Simulation filter_run_end[len=16384_run=16_density=0.5] 131.6 µs 159.4 µs -17.46%
❌ Simulation filter_run_end[len=4096_run=16_density=0.9] 42.8 µs 47.9 µs -10.67%
⚡ WallTime arrow_checked_add_u32_neon[16384] 20.5 µs 12.7 µs +60.52%
⚡ Simulation random_i8[0.5] 90.6 µs 67 µs +35.25%
⚡ WallTime arrow_checked_add_u32_avx2[16384] 21.4 µs 17.6 µs +21.35%
⚡ Simulation allocate_drop_arrow[0] 456.9 ns 402.7 ns +13.45%
⚡ Simulation allocate_drop_bytes[0] 520.2 ns 466 ns +11.62%
⚡ WallTime mul_u32_nonnull_avx512 6.3 µs 5.7 µs +11.16%
🆕 WallTime filter_materialized_range_neon[len128_run64_density50_primitive_offset0] N/A 1.6 µs N/A
🆕 WallTime filter_materialized_range_neon[len4096_run64_density50_primitive_offset0] N/A 2.7 µs N/A
🆕 WallTime filter_materialized_range_neon[len65536_run128_density50_dictionary_offset0] N/A 14.8 µs N/A
🆕 WallTime filter_materialized_range_neon[len65536_run128_density50_primitive_offset0] N/A 13.1 µs N/A
🆕 WallTime filter_materialized_range_neon[len65536_run16_density50_primitive_offset0] N/A 91 µs N/A
🆕 WallTime filter_materialized_range_neon[len65536_run256_density50_primitive_offset0] N/A 9.5 µs N/A
🆕 WallTime filter_materialized_range_neon[len65536_run32_density50_primitive_offset0] N/A 38.5 µs N/A
🆕 WallTime filter_materialized_range_neon[len65536_run512_density50_primitive_offset0] N/A 7.3 µs N/A
🆕 WallTime filter_materialized_range_neon[len65536_run64_density1_primitive_offset0] N/A 14.2 µs N/A
... ... ... ... ... ...

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

Tip

Investigate this regression by commenting @codspeedbot fix this regression on this PR, or directly use the CodSpeed MCP with your agent.

Comparing wm/runend-filtering (30869b8) with develop (265b705)

Open in CodSpeed

Footnotes

  1. 206 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. ↩

View more details on CodSpeed HQ