analyze-kernel-bottleneck

SKILLFlujo de trabajocomunidad
v0.0.0pjt222MITActualizado hace 7 dFuente →

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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hace 7 dÚltima actualización
Skill
Autorpjt222
Versión0.0.0
LicenciaMIT
CategoríaFlujo de trabajo
Formatosskill.md
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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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