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Document how to run and interpret XRay benchmarks - #3

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@jimsweeney

@jimsweeney jimsweeney commented Sep 16, 2026 •

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Documents how to run and interpret the existing XRay P1, P2, and Savitzky–Golay benchmarks. The guide explains the workloads, timing boundaries, JSON fields, CPU/GPU ratio denominators, numerical checks, and environment provenance needed to assess a run. It links the versioned CuPy eigensolver limitation and identifies matrix-pencil/ESPRIT as experimental estimator alternatives. Benchmark implementations and defaults are unchanged.

Validation on current public main: all three documented CPU variants and both subspace help commands passed; 12 documentation/schema tests and all applicable pre-commit hooks passed. The stage timing descriptions and JSON names match the implementation. No GPU execution was needed for this documentation refresh.

Historical contributor measurements

The original measurements and profiling observations remain in the original benchmark note. They describe revision 9e91835 on one RTX 4050 Laptop GPU under WSL2. The exact profiling script/raw outputs were not retained, and the original P1 component count is uncertain. They are historical review evidence, not release performance baselines.

Refs #1.

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coderabbitai Bot commented Sep 24, 2026 •

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@tpn

tpn commented Sep 25, 2026

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jimsweeney and others added 3 commits September 24, 2026 22:18
docs/xray/LINEAR-PREDICTION-BENCHMARKS.md records how lpb, lppb and lpsb
measure (transfers excluded, warm-up call, null-stream synchronisation,
best of --repeat), the reproduction commands, and the numbers on an RTX
4050 Laptop GPU under WSL2 with CUDA 13.2 and CuPy 14.1.1, together
with a
profile of where the P1 GPU time goes: cusolver xgeev is called once per
71 x 71 companion matrix even on the batched path, so batching buys 2 to
10 percent and the CPU is 15x faster at 96 samples. Linked from the xray
README. No code changes.

Refs NVIDIA#1

Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_014wyj5iPSHmtR3vSTvJWKfw
Signed-off-by: James Sweeney <jmsweene@gmail.com>
Describe row variation, CPU batching and timed scalar transfers.
State the missing component-order and profiling provenance without
changing the contributed timing observations.

Signed-off-by: Trent Nelson <trentn@nvidia.com>
Explain timing boundaries, CPU and GPU comparisons, and numerical
checks for the existing benchmark commands. Keep machine measurements
as review evidence and describe the versioned eigensolver limitation.

Signed-off-by: Trent Nelson <trentn@nvidia.com>
@tpn
tpn force-pushed the xray-lp-benchmarks branch from ab46916 to 59fcc31 Compare September 25, 2026 05:22
Signed-off-by: Trent Nelson <trentn@nvidia.com>

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2 participants