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refactor(array): allocate execution outputs through context - #9671

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refactor(array): allocate execution outputs through context#9671
gatesn wants to merge 2 commits into
ngates/buffer-allocator-buildersfrom
ngates/buffer-allocator-execution

fix(array): pass allocator to AVX2 take tests

2b0d9f0
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CodSpeed HQ / CodSpeed Performance Analysis failed Aug 29, 2026 in 0s

Performance Regression: -14.63%

⚠️ 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.

❌ 48 regressed benchmarks
✅ 2121 untouched benchmarks
⏩ 106 skipped benchmarks1
🗄️ 4 archived benchmarks run2

Warning

Please fix the performance issues or acknowledge them on CodSpeed.

Performance Changes

Mode Benchmark BASE HEAD Efficiency
Simulation primitive_mixed_constants[round_robin/n2/null] 351.5 µs 467.1 µs -24.75%
Simulation primitive_mixed_constants[round_robin/n2/nonnull] 350.7 µs 465.2 µs -24.62%
Simulation primitive[round_robin/n2/nonnull] 367.7 µs 482.6 µs -23.81%
Simulation primitive[round_robin/n2/null] 373.6 µs 488.8 µs -23.56%
Simulation primitive_mixed_constants[random/n2/nonnull] 390 µs 505 µs -22.77%
Simulation primitive_mixed_constants[random/n2/null] 396.8 µs 512.1 µs -22.51%
Simulation primitive[random/n2/nonnull] 466 µs 581.2 µs -19.81%
Simulation primitive[random/n2/null] 472.8 µs 588.2 µs -19.61%
Simulation filter_powerlaw_by_mostly_true[250000] 178.4 µs 213.8 µs -16.59%
Simulation filter_random_by_mostly_true[250000] 178.5 µs 213.8 µs -16.52%
Simulation primitive_mixed_constants[random/n64/nonnull] 598.3 µs 713.3 µs -16.12%
Simulation filter_random_by_random[250000] 162.8 µs 192 µs -15.24%
Simulation filter_powerlaw_by_random[250000] 162.8 µs 192.1 µs -15.23%
Simulation primitive_mixed_constants[random/n64/null] 654.7 µs 772.2 µs -15.21%
Simulation density_sweep_random[0.9] 87.8 µs 102.2 µs -14.09%
Simulation filter_powerlaw_by_mostly_true[100000] 88.6 µs 103 µs -13.92%
Simulation density_sweep_random[0.95] 88.4 µs 102.6 µs -13.88%
Simulation density_sweep_dense_runs[0.9] 87.8 µs 102 µs -13.87%
Simulation filter_random_by_mostly_true[100000] 88.6 µs 102.8 µs -13.82%
Simulation filter_random_by_power_law[250000] 152.6 µs 177 µs -13.78%
... ... ... ... ... ...

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

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


Comparing ngates/buffer-allocator-execution (2b0d9f0) with ngates/buffer-allocator-builders (2331294)

Open in CodSpeed

Footnotes

  1. 106 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. 4 benchmarks were run, but are now archived. If they were deleted in another branch, consider rebasing to remove them from the report. Instead if they were added back, click here to restore them.