Data Science & Analytics
Analyze Kernel Bottleneck
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).
- Publisher / source
- pjt222/agent-almanac (found on the CSV list)
- Upstream record
- pjt222/agent-almanac
- Version
- Version 2
- Published
- Publication review
- Approved for publication · recorded passed scan 2026-11-10
- Content fingerprint
1917e67dff3824cb33caf2f31c41bf4aac3a1f2677248f7a4876ef246dd18aa6