Empirical performance lessons per op category. Each category has:
- Checklist — heuristic rules for audit (lightweight, always load)
- Evidence — measured data and reasoning (load on demand)
All conclusions are scoped to this configuration. Re-validate when any component changes.
| Component | Value |
|---|---|
| GPU | NVIDIA H200 (HBM3e, 4.8 TB/s peak, SM_90a) |
| Driver / CUDA | 575.57.08 / 12.8 |
| PyTorch | 2.9.1+cu128 |
| TileLang | 0.1.9 |
| Profiler | CUPTI (primary); CUDA event+median fallback when CUPTI singleton unavailable |
| Category | Checklist | Evidence |
|---|---|---|
| Elementwise | elementwise.md | elementwise-evidence.md |