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Paper detail

Enumerating Hardware-Software Splits with Program Rewriting

A core problem in hardware-software codesign is in the sheer size of the design space. Without a set ISA to constrain the hardware-software interface, the design space explodes. This work presents a strategy for managing the massive hardware-software design space within the domain of machine learning inference workloads and accelerators. We first propose EngineIR, a new language for representing machine learning hardware and software in a single program. Then, using equality graphs -- a data structure from the compilers literature -- we suggest a method for efficiently enumerating the design space by performing rewrites over our representation.

preprint2020arXivOpen access
Gus SmithZachary TatlockLuis Ceze
Programming LanguagesDistributed, Parallel, and Cluster Computing
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Gus SmithZachary TatlockLuis Ceze

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