44 citations · 167 across the 26 of their papers we have counts for
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cs.PF2018★ 2 cited
Scalar Arithmetic Multiple Data: Customizable Precision for Deep Neural Networks
Andrew Anderson, David Gregg
Quantization of weights and activations in Deep Neural Networks (DNNs) is a powerful technique for network compression, and has enjoyed significant attention and success. However,…
cs.PF2017
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…