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kferjaouiandClaude Opus 5.5
b7b786f423
Make room for probes of other CUDA classes. common.py and gpu_span.py stay in perf/ and become shared; the cluster-finder driver, traced process, README and results move to perf/cf/. - common.py: assert_build_fresh() takes the header list, capture_env() takes extra fields, results_dir() takes the probe folder. - cf/cf_common.py: pedestal frames, n_sigma, rebuild-guard headers, DEVICE_PED_TYPE and the <date>_<f32|f64> results naming. - gpu_span.py: optional kernel-name filter; tolerates an engine with no ops. Output without a filter is unchanged. Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
773 B
773 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 |
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 only |
Requirements (a CUDA build of the Python extension, Nsight Systems, the dataset, an idle GPU) are listed in each folder's README.