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kferjaouiandClaude Opus 5.5
e80e552497
perf/hist/ mirrors perf/cf/: a driver that runs each config under nsys, the traced process, settings and a README. The fill (H2D + fill_bin_major per frame) and the readout (bin_to_pixel_major + one D2H per values()) are reported separately. Only one chunk of frames is held in host memory and re-queued until the requested frame count. gpu_span.analyze() takes an optional engines subset, so the one-off readout D2H doesn't count towards the fill window or roofline. Default output is unchanged. Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
850 B
850 B
GPU performance probes
Nsight Systems probes for the CUDA classes: per-engine GPU time per frame
(kernel, H2D, D2H), duty cycles and the roofline. One folder per class, each
with its own driver, traced process, README and results/:
| folder | class |
|---|---|
cf/ |
ClusterFinderCUDA |
hist/ |
PixelHistogramCUDA |
Shared by all of them:
| file | role |
|---|---|
common.py |
paths (AARE_REPO, AARE_BUILD, AARE_PERF_DATA, NSYS), guards (fresh build, idle GPU), env.json stamp, results folder |
gpu_span.py |
reads an nsys SQLite export: busy time, duty cycle and roofline per engine, optionally for one kernel name and a subset of engines only |
Requirements (a CUDA build of the Python extension, Nsight Systems, the dataset, an idle GPU) are listed in each folder's README.