Improving parallel efficiency for asynchronous graph analytics using Gauss-Seidel-based matrix computation | |
Luo, Le; Liu, Yi | |
刊名 | CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE
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2019 | |
卷号 | 31 |
关键词 | asynchronous graph processing Gauss-Seidel method matrix computation |
ISSN号 | 1532-0626 |
DOI | 10.1002/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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