128 citations · 230 across the 7 of their papers we have counts for
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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…
cs.AR2021★ 4 cited
MPU: Towards Bandwidth-abundant SIMT Processor via Near-bank Computing
Xinfeng Xie, Peng Gu, Yufei Ding +3
With the growing number of data-intensive workloads, GPU, which is the state-of-the-art single-instruction-multiple-thread (SIMT) processor, is hindered by the memory bandwidth wal…