SFLU: Synchronization-Free Sparse LU Factorization for Fast Circuit Simulation on GPUs

Sparse LU factorization is one of the key building blocks of sparse direct solvers and often dominates the computing time of circuit simulation programs. Existing GPU-accelerated sparse LU factorization methods either offload relatively small dense matrix-matrix multiplications to GPU cores, or extr...

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Bibliographic Details

Published in:	2021 58th ACM/IEEE Design Automation Conference (DAC) pp. 37 - 42
Main Authors:	Zhao, Jianqi, Wen, Yao, Luo, Yuchen, Jin, Zhou, Liu, Weifeng, Zhou, Zhenya
Format:	Conference Proceeding
Language:	English
Published:	IEEE 05.12.2021
Subjects:	Benchmark testing Circuit simulation Design automation GPU Graphics processing units Instruction sets Parallel processing sparse LU factorization Synchronization
Online Access:	Get full text
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