699 citations · 715 across the 3 of their papers we have counts for
3 papers
cuTeSpMM: Accelerating Sparse-Dense Matrix Multiplication using GPU Tensor Cores
Lizhi Xiang, Omid Asudeh, Gerald Sabin +2
Many recent GPUs feature matrix multiplication engines (aka Tensor Core Units or TCUs) that perform small fixed-size matrix-matrix products at very high throughput. They have been…
NWChem: Past, Present, and Future
E. Aprà, E. J. Bylaska, W. A. de Jong +111
Specialized computational chemistry packages have permanently reshaped the landscape of chemical and materials science by providing tools to support and guide experimental efforts…
Fast Sparse Matrix-Vector Multiplication on GPUs: Implications for Graph Mining
Xintian Yang, Srinivasan Parthasarathy, Ponnuswamy Sadayappan
Scaling up the sparse matrix-vector multiplication kernel on modern Graphics Processing Units (GPU) has been at the heart of numerous studies in both academia and industry. In this…