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20182021
most citedAccelerating Bandwidth-Bound Deep Learning Inference with Main-Memory Accelerators

9 citations · 19 across the 6 of their papers we have counts for

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cs.DC2019

DeLTA: GPU Performance Model for Deep Learning Applications with In-depth Memory System Traffic Analysis

Sangkug Lym, Donghyuk Lee, Mike O'Connor +2

Training convolutional neural networks (CNNs) requires intense compute throughput and high memory bandwidth. Especially, convolution layers account for the majority of the executio…