analyze-kernel-bottleneck

SKILLFlusso di lavorocommunity
v0.0.0pjt222MITAggiornato 7 g faFonte →

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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7 g faUltimo aggiornamento
Skill
Autorepjt222
Versione0.0.0
LicenzaMIT
CategoriaFlusso di lavoro
Formatiskill.md
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Descrizione

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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