44 citations · 87 across the 11 of their papers we have counts for
3 papers · 1 filter
Optimal DNN Primitive Selection with Partitioned Boolean Quadratic Programming
Andrew Anderson, David Gregg
Deep Neural Networks (DNNs) require very large amounts of computation both for training and for inference when deployed in the field. Many different algorithms have been proposed t…
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…
Parallel Multi Channel Convolution using General Matrix Multiplication
Aravind Vasudevan, Andrew Anderson, David Gregg
Convolutional neural networks (CNNs) have emerged as one of the most successful machine learning technologies for image and video processing. The most computationally intensive par…