analyze-kernel-bottleneck

SKILLWorkflowCommunity
v0.0.0pjt222MITAktualisiert vor 7 TQuelle →

Systematically identify whether a GPU kernel is compute-bound, memory-bound, or latency-bound using roofline analysis, occupancy calculations, compute/load ratio per tile, and SASS instruction inspection. Produces a decision matrix for optimization strategy selection (cp.async, warp interleaving, ti

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vor 7 TLetzte Aktualisierung
Skill
Autorpjt222
Version0.0.0
LizenzMIT
KategorieWorkflow
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Systematically identify whether a GPU kernel is compute-bound, memory-bound, or latency-bound using roofline analysis, occupancy calculations, compute/load ratio per tile, and SASS instruction inspection. Produces a decision matrix for optimization strategy selection (cp.async, warp interleaving, tiling, double-buffering, or CuAssembler hand-tuning).

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