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963 B
963 B
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.