matrixmultiplyAI
matrixmultiplyAI is a software framework designed to optimize and accelerate matrix multiplication workloads by applying machine learning techniques to traditional high-performance computing approaches. It provides a modular stack that enables automatic selection of data layouts, tiling strategies, and kernel implementations to maximize throughput across diverse hardware.
The core architecture combines a front-end API for expressing matrix multiply operations with back-end code generation
History and development have been driven by collaboration among academic researchers and industry practitioners. The project
Usage and impact typically center on improving end-to-end throughput in deep learning pipelines, scientific simulations, and