Block-wise dynamic mixed-precision for sparse matrix-vector multiplication on GPUs
Zhixiang Zhao,
Guoyin Zhang,
Yanxia Wu
et al.
Abstract:Sparse matrix-vector multiplication (SpMV) plays a critical role in a wide range of linear algebra computations, particularly in scientific and engineering disciplines. However, the irregular memory access patterns, extensive memory usage, high bandwidth requirements, and underutilization of parallelism hinder the computational efficiency of SpMV on GPUs. In this paper, we propose a novel approach called block-wise dynamic mixed-precision (BDMP) to address these challenges. Our methodology involves partitionin… Show more
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