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ci(gpu): clone parcagpu submodules for the proton dependency

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ci(gpu): profile CUDA micro-benchmarks with Polar Signals PC sampling #8338

ci(gpu): clone parcagpu submodules for the proton dependency
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CodSpeed HQ / CodSpeed Performance Analysis failed Jun 10, 2026 in 0s

Performance Regression: -0.86%

⚠️ 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.

⚡ 7 improved benchmarks
❌ 6 regressed benchmarks
✅ 1514 untouched benchmarks

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] 216.9 ns 275.3 ns -21.19%
Simulation decompress_rd[f64, (100000, 0.0)] 845.9 µs 1,024.6 µs -17.44%
Simulation bitwise_not_vortex_buffer_mut[1024] 278.6 ns 336.9 ns -17.31%
Simulation decompress_rd[f32, (100000, 0.0)] 499.6 µs 587 µs -14.9%
Simulation bitwise_not_vortex_buffer_mut[2048] 342.2 ns 400.6 ns -14.56%
Simulation chunked_varbinview_canonical_into[(100, 100)] 274.5 µs 309.5 µs -11.31%
Simulation chunked_varbinview_canonical_into[(1000, 10)] 198.2 µs 161.9 µs +22.44%
Simulation decompress_rd[f64, (100000, 0.01)] 981.7 µs 846 µs +16.04%
Simulation decompress_rd[f64, (100000, 0.1)] 981.6 µs 846 µs +16.04%
Simulation baseline_lt[16, 65536] 246.7 µs 219.1 µs +12.59%
Simulation encode_varbin[(1000, 4)] 161.6 µs 144.5 µs +11.81%
Simulation encode_varbin[(1000, 8)] 162.3 µs 145.2 µs +11.8%
Simulation encode_varbin[(1000, 32)] 167.2 µs 150.5 µs +11.05%

Tip

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


Comparing claude/eloquent-davinci-nvq8zx (490b2eb) with develop (f46621d)

Open in CodSpeed