Composable Kernel User Guide#


This document contains instructions for installing, using, and contributing to Composable Kernel (CK).


Composable Kernel (CK) library aims to provide a programming model for writing performance critical kernels for machine learning workloads across multiple architectures including GPUs, CPUs, etc, through general purpose kernel languages, like HIP C++.

CK utilizes two concepts to achieve performance portability and code maintainability:

  • A tile-based programming model

  • Algorithm complexity reduction for complex ML operators, using innovative technique we call “Tensor Coordinate Transformation”.

CK Components