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](https://docs.astral.sh/uv/) for managing python environments.
- [nix](https://nixos.org) for managing non-python tools and benchmark designs. Follow [this guide](https://librelane.readthedocs.io/en/stable/installation/nix_installation/index.html) or [this guide](https://github.com/fossi-foundation/nix-eda/blob/main/docs/installation.md) to setup [nix-eda](https://github.com/fossi-foundation/nix-eda/tree/main) 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`.