KernelBench operators
Faster GPU kernels for PyTorch operators, exactly as correct as the reference (placeholder)
| # | speed-up ↑ | Step | What changed |
|---|---|---|---|
| 6 | 1.74 | ↑ 0.13 | A later commit on this route |
| 5 | 1.61 | ↑ 0.09 | Search tile sizes and warps per problem shape |
| 4 | 1.52 | ↑ 0.14 | A flash-style attention kernel with an online softmax |
| 3 | 1.38 | ↑ 0.17 | A later commit on this route |
| 2 | 1.21 | ↑ 0.09 | Fuse elementwise tails into Triton kernels |
| 1 | 1.12 | ↑ 0.12 | torch.compile with max-autotune, as a stronger floor |
| 0 | 1 | The baseline, PyTorch eager |