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feat(python): add cuda_enabled and vortex-data-cuda#8510

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feat(python): add cuda_enabled and vortex-data-cuda#8510
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CodSpeed HQ / CodSpeed Performance Analysis failed Jun 19, 2026 in 0s

7 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.

⚡ 13 improved benchmarks
❌ 7 regressed benchmarks
✅ 1561 untouched benchmarks

Warning

Please fix the performance issues or acknowledge them on CodSpeed.

Performance Changes

Mode Benchmark BASE HEAD Efficiency
Simulation decompress_rd[f64, (10000, 0.01)] 108.9 µs 139.2 µs -21.77%
Simulation decompress_rd[f64, (10000, 0.1)] 109.2 µs 139.5 µs -21.74%
Simulation decompress_rd[f64, (10000, 0.0)] 108.9 µs 139.2 µs -21.74%
Simulation decompress_rd[f32, (100000, 0.0)] 496.1 µs 583.9 µs -15.04%
Simulation decompress_rd[f32, (10000, 0.01)] 78.2 µs 90.7 µs -13.81%
Simulation decompress_rd[f32, (10000, 0.1)] 78.2 µs 90.7 µs -13.8%
Simulation decompress_rd[f32, (10000, 0.0)] 78.7 µs 91.2 µs -13.77%
Simulation bitwise_not_vortex_buffer_mut[128] 244.4 ns 186.1 ns +31.34%
Simulation bitwise_not_vortex_buffer_mut[1024] 304.7 ns 246.4 ns +23.68%
Simulation take_10k_first_chunk_only 251.3 µs 206.5 µs +21.7%
Simulation decompress_rd[f64, (100000, 0.1)] 1,020.9 µs 842.8 µs +21.13%
Simulation decompress_rd[f64, (100000, 0.01)] 1,020.9 µs 842.8 µs +21.13%
Simulation take_10k_dispersed 264.8 µs 220.2 µs +20.28%
Simulation decompress_rd[f32, (100000, 0.1)] 583 µs 495.5 µs +17.67%
Simulation decompress_rd[f32, (100000, 0.01)] 583 µs 495.5 µs +17.67%
Simulation bitwise_not_vortex_buffer_mut[2048] 427.8 ns 369.4 ns +15.79%
Simulation patched_take_10k_adversarial 259.7 µs 229.6 µs +13.13%
Simulation patched_take_10k_first_chunk_only 282.9 µs 252.7 µs +11.97%
Simulation patched_take_10k_dispersed 297 µs 266.8 µs +11.33%
Simulation eq_i64_constant 317.9 µs 288 µs +10.4%

Tip

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


Comparing ad/pyvortex-cudf (671cae2) with develop (9814173)

Open in CodSpeed