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Multi GPU Sparse Matrix by Sparse Matrix Multiplication

delete2025-11-30
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OA
AI
A
Artem Mavliutov *
G
Giovanni Isotton
C
Carlo Janna
A
Alessandro Celestini
M
Massimo Bernaschi
DOI：10.1002/cpe.70313delete
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摘要

摘要

En 中文
本文聚焦于改进现有的nsparse Nagasaka et al.算法，并将其扩展到多GPU设置，以应用于实际的工程问题。在本工作中，我们提出了一种针对SpGEMM的分布式多GPU框架，该框架专门为nsparse类算法设计。结果表明，nsparse算法实现了约2倍的性能提升，且多GPU扩展的扩展性与GPU数量接近理想状态。最后，我们在AMG设置中测试了所提出的算法，通过计算双SpGEMM乘积。
Keyword:
CUDA
GPUs
large matrices
MPI
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期刊

C
CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE
IF:
1.5
论文数:
473
被引数:
0

机构

U
University of Padua
学者数:
5.1W
论文数: 4.3W
被引数: 57
C
consiglio nazionale delle ricerche (cnr)
学者数:
6.2W
论文数: 5.7W
被引数: 48
引用论文

引用论文

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