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CFU Playground: Full-Stack Open-Source Framework for Tiny Machine Learning (tinyML) Acceleration on FPGAs. (arXiv:2201.01863v1 [cs.LG])
Jan. 7, 2022, 2:10 a.m. | Shvetank Prakash, Tim Callahan, Joseph Bushagour, Colby Banbury, Alan V. Green, Pete Warden, Tim Ansell, Vijay Janapa Reddi
cs.LG updates on arXiv.org arxiv.org
We present CFU Playground, a full-stack open-source framework that enables
rapid and iterative design of machine learning (ML) accelerators for embedded
ML systems. Our toolchain tightly integrates open-source software, RTL
generators, and FPGA tools for synthesis, place, and route. This full-stack
development framework gives engineers access to explore bespoke architectures
that are customized and co-optimized for embedded ML. The rapid,
deploy-profile-optimization feedback loop lets ML hardware and software
developers achieve significant returns out of a relatively small investment in
customization. …
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