Low-memory GEMM-based convolution algorithms for deep neural networks

Andrew Anderson, Aravind Vasudevan, Cormac Keane +1

Deep neural networks (DNNs) require very large amounts of computation both for training and for inference when deployed in the field. A common approach to implementing DNNs is to r…