most citedOptimizing Memory-Access Patterns for Deep Learning Accelerators

6 citations · 6 across the 1 of their papers we have counts for

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1 paper

cs.PF2020★ 6 cited

Optimizing Memory-Access Patterns for Deep Learning Accelerators

Hongbin Zheng, Sejong Oh, Huiqing Wang +7

Deep learning (DL) workloads are moving towards accelerators for faster processing and lower cost. Modern DL accelerators are good at handling the large-scale multiply-accumulate o…