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Ferjaoui
a3c2ac1572
For the cache-footprint experiments: --range-scale widens the bins without changing n_bins, and --center subtracts each pixel's median so neighbouring pixels share bins, while u16 frames keep their H2D size.
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.