Optimization of Large-Scale Sparse Matrix-Vector Multiplication on Multi-GPU Systems

Sparse matrix-vector multiplication (SpMV) is one of the important kernels of many iterative algorithms for solving sparse linear systems. The limited storage and computational resources of individual GPUs restrict both the scale and speed of SpMV computing in problem-solving. As real-world engineer...

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Bibliographic Details
Published in:ACM transactions on architecture and code optimization 2024-11, Vol.21 (4), p.1-24, Article 69
Main Authors: Gao, Jianhua, Ji, Weixing, Wang, Yizhuo
Format: Article
Language:English
Subjects:
Computing methodologies
Massively parallel algorithms
Mathematics of computing
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