williamhtan/kernelsight
KernelSight v4 Per-timestep workload labels for GPU execution traces. KernelSight pairs every GPU workload trace with a dense, per-timestep workload labeling. Each snapshot is a [24, 512] counter image — 24 hardware-counter channels sampled across 512 equal-width time bins — paired with per-bin labels drawn from a two-level hierarchy of 12 coarse (L1) and 73 fine (L2) workload classes. The goal is to label what a kernel is doing at each instant (matmul, attention, reduction… See the full description on the dataset page: https://huggingface.co/datasets/williamhtan/kernelsight.
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