Shi-Jie Zhao

SSpMV: A Sparsity-Aware Framework for Adaptive Sparse Matrix–Vector Multiplication

Sparse Matrix-Vector Multiplication (SpMV) is a fundamental sparse kernel in both scientific computing and artificial intelligence. However, the performance of existing SpMV algorithms is highly sensitive to diverse sparsity patterns, necessitating an adaptive framework that can effectively extract matrix structures an...