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20192023
most citedHetPipe: Enabling Large DNN Training on (Whimpy) Heterogeneous GPU Clusters through Integration of Pipelined Model Parallelism and Data Parallelism

41 citations · 51 across the 3 of their papers we have counts for

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Showing 2019Show all

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cs.DC2019★ 7 cited

Accelerated Training for CNN Distributed Deep Learning through Automatic Resource-Aware Layer Placement

Jay H. Park, Sunghwan Kim, Jinwon Lee +2

The Convolutional Neural Network (CNN) model, often used for image classification, requires significant training time to obtain high accuracy. To this end, distributed training is…