Files
aare/python/tests/perf
kferjaouiandClaude Opus 5.5 7e201849a1
Build on RHEL8 / build (push) Successful in 4m4s
Build on RHEL9 / build (push) Successful in 4m22s
Run tests using data on local RHEL8 / build (push) Failing after 4m51s
perf: README for the A100 PixelHistogramCUDA results
Probe baseline plus the ncu experiments on binning and accumulator
layout (E1-E4), which are not stored as files.

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
2026-10-29 17:17:53 +01:00
..

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.