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Improving parallel efficiency for asynchronous graph analytics using Gauss-Seidel-based matrix computation
Luo, Le; Liu, Yi
刊名CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE
2019
卷号31
关键词asynchronous graph processing Gauss-Seidel method matrix computation
ISSN号1532-0626
DOI10.1002/cpe.5267
URL标识查看原文
收录类别SCIE ; EI
WOS记录号WOS:000480581500028
内容类型期刊论文
URI标识http://www.corc.org.cn/handle/1471x/5916477
专题北京航空航天大学
推荐引用方式
GB/T 7714
Luo, Le,Liu, Yi. Improving parallel efficiency for asynchronous graph analytics using Gauss-Seidel-based matrix computation[J]. CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE,2019,31.
APA Luo, Le,&Liu, Yi.(2019).Improving parallel efficiency for asynchronous graph analytics using Gauss-Seidel-based matrix computation.CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE,31.
MLA Luo, Le,et al."Improving parallel efficiency for asynchronous graph analytics using Gauss-Seidel-based matrix computation".CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE 31(2019).
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