GPU-based matrix multiplication methods for social networks analysis
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Jo, Yong-Yeon | - |
dc.contributor.author | Kim, Sang-Wook | - |
dc.contributor.author | Bae, Duck-Ho | - |
dc.date.accessioned | 2022-07-16T02:38:31Z | - |
dc.date.available | 2022-07-16T02:38:31Z | - |
dc.date.created | 2021-05-13 | - |
dc.date.issued | 2014-10 | - |
dc.identifier.issn | 0000-0000 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/158946 | - |
dc.description.abstract | A matrix multiplication is a building block for social networks analysis. Recently, there have been various methods proposed for GPU-based matrix multiplications. NVIDIA, one of major manufacturers of GPUs, has also proposed various matrix multiplication methods based on GPUs. In this paper, we introduce the methods, and evaluate their performance via extensive experiments using synthetic and real-world datasets. Our results would help practitioners choose the best one for analyzing real-world social networks. | - |
dc.language | 영어 | - |
dc.language.iso | en | - |
dc.publisher | Association for Computing Machinery, Inc | - |
dc.title | GPU-based matrix multiplication methods for social networks analysis | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Kim, Sang-Wook | - |
dc.identifier.doi | 10.1145/2663761.2664192 | - |
dc.identifier.scopusid | 2-s2.0-84910019931 | - |
dc.identifier.bibliographicCitation | Proceedings of the 2014 Research in Adaptive and Convergent Systems, RACS 2014, pp.309 - 313 | - |
dc.relation.isPartOf | Proceedings of the 2014 Research in Adaptive and Convergent Systems, RACS 2014 | - |
dc.citation.title | Proceedings of the 2014 Research in Adaptive and Convergent Systems, RACS 2014 | - |
dc.citation.startPage | 309 | - |
dc.citation.endPage | 313 | - |
dc.type.rims | ART | - |
dc.type.docType | Conference Paper | - |
dc.description.journalClass | 1 | - |
dc.description.isOpenAccess | N | - |
dc.description.journalRegisteredClass | scopus | - |
dc.subject.keywordPlus | Program processors | - |
dc.subject.keywordPlus | Social networking (online) | - |
dc.subject.keywordPlus | Building blockes | - |
dc.subject.keywordPlus | CUDA | - |
dc.subject.keywordPlus | GPU | - |
dc.subject.keywordPlus | Gpu-based | - |
dc.subject.keywordPlus | MAtrix multiplication | - |
dc.subject.keywordPlus | Real-world | - |
dc.subject.keywordPlus | Real-world datasets | - |
dc.subject.keywordPlus | Social Networks Analysis | - |
dc.subject.keywordPlus | Matrix algebra | - |
dc.subject.keywordAuthor | CUDA | - |
dc.subject.keywordAuthor | GPU | - |
dc.subject.keywordAuthor | Matrix multiplication | - |
dc.identifier.url | https://dl.acm.org/doi/10.1145/2663761.2664192 | - |
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