most citedA Transferable Approach for Partitioning Machine Learning Models on Multi-Chip-Modules

3 citations · 3 across the 1 of their papers we have counts for

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1 paper

cs.LG2021★ 3 cited

A Transferable Approach for Partitioning Machine Learning Models on Multi-Chip-Modules

Xinfeng Xie, Prakash Prabhu, Ulysse Beaugnon +6

Multi-Chip-Modules (MCMs) reduce the design and fabrication cost of machine learning (ML) accelerators while delivering performance and energy efficiency on par with a monolithic l…