Accelerating CNN Training With Concurrent Execution of GPU and Processing-in-Memory
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DOI: 10.1109/access.2024.3488004
Abstract: Training of convolutional neural networks (CNN) consumes a lot of time and resources. While most previous works have focused on accelerating the convolutional (CONV) layer, the proportion of non-convolutional (non-CONV) layers, such as batch normalization,… read more here.
Keywords: memory; non conv; conv; cnn training ... See more keywords