Individual skill

kernel-trace-analysis

Profile GPU kernels using rocprofv3 to collect ATT instruction-level traces, then analyze the trace data using hotspot_analyzer.py to identify top-K stall hotspots (VMEM-load, VMEM-wait, LDS/SMEM-wait, barrier, MFMA stalls) mapped back to source lines, and produce an actionable optimization plan. Usage: /kernel-trace-analysis <cmd> Can also analyze an existing dispatch dir directly: /kernel-trace-analysis --dir <path>

src/kernelforge/knowledge/local_wiki/resources/languages/flydsl/skills/profile/kernel-trace-analysis/SKILL.md

Source commit e90e8483681992cc4a51a73bb1a4751ea0d2d8eb

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Last checked

Nov 7, 2026

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