701 citations · 794 across the 17 of their papers we have counts for
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cs.DC2018
Workload-aware Automatic Parallelization for Multi-GPU DNN Training
Sungho Shin, Youngmin Jo, Jungwook Choi +3
Deep neural networks (DNNs) have emerged as successful solutions for variety of artificial intelligence applications, but their very large and deep models impose high computational…
cs.DC2017★ 5 cited
SparCE: Sparsity aware General Purpose Core Extensions to Accelerate Deep Neural Networks
Sanchari Sen, Shubham Jain, Swagath Venkataramani +1
Deep Neural Networks (DNNs) have emerged as the method of choice for solving a wide range of machine learning tasks. The enormous computational demands posed by DNNs have most comm…