dCSR: A Memory-Efficient Sparse Matrix Representation for Parallel Neural Network Inference

Elias Trommer, Bernd Waschneck, Akash Kumar 0001. dCSR: A Memory-Efficient Sparse Matrix Representation for Parallel Neural Network Inference. In IEEE/ACM International Conference On Computer Aided Design, ICCAD 2021, Munich, Germany, November 1-4, 2021. pages 1-9, IEEE, 2021. [doi]

Abstract

Abstract is missing.