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Ferjaoui
bb9b04d7ad
Fill kernel-bound at 1000 bins on raw uint16 frames (23 us/frame vs 12 us H2D); H2D-bound at 100 bins.
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.