Sparse GPU Kernels for Deep Learning

Trevor Gale, Matei Zaharia, Cliff Young +1

Scientific workloads have traditionally exploited high levels of sparsity to accelerate computation and reduce memory requirements. While deep neural networks can be made sparse, a…