Machine Learning Hardware Modules

Collection of various hardware components used for machine learning accelerator research.

Quick Start

This project manages reproducible programming environments with:

• uv for managing python environments.
• nix for managing non-python tools and benchmark designs. Follow this guide or this guide to setup nix-eda binary cache to avoid re-building EDA-related tools.

No need to clone or download this repository. Access all synthesized hardware modules by calling:

nix build git+https://git.vlab.cse.kyutech.ac.jp/stefan/mlhw.git

on your system's command line. All hardware modules withh appear in result.