AI Potluck
Infrastructure / Compilers & Model Optimization

Composable Kernel

AMD

Composable Kernel provides a programming model and template library for performance-critical machine learning kernels, decomposing GEMM, convolution and attention operations into tile-level pieces that recombine and fuse. It targets AMD GPUs through ROCm and carries a code generator and dispatcher for instance selection. AMD develops it as part of the ROCm stack.

Verified 2026-08-18 via the GitHub API and the LICENSE body.

Openness

5 high confidence
5.0
license
MIT(OSI)
source
public
core-gated
ungated

MIT license body confirmed. The repository is public and unarchived and builds the whole product, and the README describes no paid tier, enterprise edition or license-gated build beside it, so source is public and the core ungated. GitHub reports NOASSERTION because the LICENSE body carries an AMD copyright header; the body is the verbatim MIT text.

Adoption

1 low confidence
1.0

543 GitHub stars, which lands in the <1K stars band of the stars scale, level 1. Vendored into ROCm libraries and built from source rather than distributed as a package, so the stars scale is the only instrument; at 543 stars it bands at 1, the floor.

Capability

2 medium confidence
2.0

Banded on the category feature matrix as narrow kernel set or single-pass utility. Placed two bands below the tensorrt anchor, on a matrix that bands on how much of the model-to-hardware transformation pipeline a product performs, over how many inputs and targets.

Verified 2026-08-18