chore[cuda]: decimal_byte_parts #6118
Merged
CodSpeed HQ / CodSpeed Performance Analysis
failed
Jan 23, 2026 in 0s
Performance Regression: -39.81%
⚠️ 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.
Summary
⚡ 5 improved benchmarks
❌ 10 regressed benchmarks
✅ 1259 untouched benchmarks
⏩ 1254 skipped benchmarks1
⚠️ Please fix the performance issues or acknowledge them on CodSpeed.
Performance Changes
| Mode | Benchmark | BASE |
HEAD |
Efficiency | |
|---|---|---|---|---|---|
| ⚡ | WallTime | u16_FoR[10M] |
11 µs | 6.4 µs | +72.15% |
| ⚡ | WallTime | u32_FoR[1K] |
7 µs | 6 µs | +16.15% |
| ❌ | WallTime | u8_FoR[10K] |
5.7 µs | 7 µs | -17.59% |
| ❌ | WallTime | u32_FoR[10K] |
6.3 µs | 7.7 µs | -18.7% |
| ❌ | WallTime | u64_FoR[10K] |
8.2 µs | 13.7 µs | -39.81% |
| ⚡ | WallTime | u8_FoR[10M] |
6.4 µs | 5.7 µs | +13.02% |
| ❌ | Simulation | canonical_into_non_nullable[(10000, 100, 0.0)] |
1.9 ms | 2.7 ms | -29.74% |
| ❌ | Simulation | canonical_into_non_nullable[(10000, 100, 0.1)] |
3.7 ms | 4.5 ms | -18.16% |
| ❌ | Simulation | canonical_into_non_nullable[(10000, 100, 0.01)] |
2.1 ms | 2.9 ms | -27.4% |
| ❌ | Simulation | into_canonical_non_nullable[(10000, 100, 0.1)] |
3.8 ms | 4.6 ms | -17.65% |
| ⚡ | Simulation | canonical_into_nullable[(10000, 10, 0.0)] |
529.1 µs | 444.1 µs | +19.14% |
| ⚡ | Simulation | canonical_into_nullable[(10000, 100, 0.0)] |
4.9 ms | 4.1 ms | +19.82% |
| ❌ | Simulation | into_canonical_nullable[(10000, 100, 0.0)] |
4.4 ms | 5.2 ms | -15.55% |
| ❌ | Simulation | into_canonical_non_nullable[(10000, 100, 0.01)] |
2.2 ms | 3 ms | -26.83% |
| ❌ | Simulation | into_canonical_non_nullable[(10000, 100, 0.0)] |
1.9 ms | 2.7 ms | -29.43% |
Footnotes
-
1254 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. ↩
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