List layout: list-aligned element chunking#8641
2 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.
⚡ 8 improved benchmarks
❌ 2 regressed benchmarks
✅ 1585 untouched benchmarks
⏩ 4 skipped benchmarks1
Warning
Please fix the performance issues or acknowledge them on CodSpeed.
Performance Changes
| Mode | Benchmark | BASE |
HEAD |
Efficiency | |
|---|---|---|---|---|---|
| ❌ | Simulation | bitwise_not_vortex_buffer_mut[128] |
215.3 ns | 244.4 ns | -11.93% |
| ❌ | Simulation | chunked_varbinview_into_canonical[(100, 100)] |
271.6 µs | 306.4 µs | -11.37% |
| ⚡ | Simulation | chunked_varbinview_opt_canonical_into[(1000, 10)] |
206.2 µs | 169.6 µs | +21.57% |
| ⚡ | Simulation | chunked_varbinview_into_canonical[(1000, 10)] |
205.5 µs | 169.3 µs | +21.38% |
| ⚡ | Simulation | chunked_varbinview_opt_into_canonical[(1000, 10)] |
219.6 µs | 183.4 µs | +19.75% |
| ⚡ | Simulation | slice_empty_vortex |
397.8 ns | 339.4 ns | +17.18% |
| ⚡ | Simulation | encode_varbin[(1000, 8)] |
155.4 µs | 140.1 µs | +10.88% |
| ⚡ | Simulation | encode_varbin[(1000, 4)] |
153.7 µs | 139.2 µs | +10.43% |
| ⚡ | Simulation | encode_varbin[(1000, 2)] |
153.2 µs | 138.7 µs | +10.41% |
| ⚡ | Simulation | encode_varbin[(1000, 32)] |
159.1 µs | 144.4 µs | +10.16% |
Tip
Investigate this regression by commenting @codspeedbot fix this regression on this PR, or directly use the CodSpeed MCP with your agent.
Comparing mk/list-element-chunk-index (3df5ed6) with mk/add-list-layout (ebbac66)
Footnotes
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4 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. ↩