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DC Field | Value | Language |
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dc.citation.endPage | 17 | - |
dc.citation.startPage | 1 | - |
dc.citation.title | JOURNAL OF PARALLEL AND DISTRIBUTED COMPUTING | - |
dc.citation.volume | 127 | - |
dc.contributor.author | Park, Jinsu | - |
dc.contributor.author | Baek, Woongki | - |
dc.date.accessioned | 2023-12-21T19:11:25Z | - |
dc.date.available | 2023-12-21T19:11:25Z | - |
dc.date.created | 2019-02-08 | - |
dc.date.issued | 2019-05 | - |
dc.description.abstract | Hardware transactional memory (HTM) is widely supported by commodity processors. While the effectiveness of HTM has been evaluated based on small-scale multi-core systems, it still remains unexplored to quantify the performance and energy efficiency of HTM for scientific workloads on large-scale NUMA systems, which have been increasingly adopted to high-performance computing. To bridge this gap, this work investigates the performance and energy-efficiency impact of HTM on scientific applications on large-scale NUMA systems. Specifically, we quantify the performance and energy efficiency of HTM for scientific workloads based on the widely-used CLOMP-TM benchmark. We then discuss a set of generic software optimizations, which effectively improve the performance and energy efficiency of transactional scientific workloads on large-scale NUMA systems. Further, we present case studies in which we apply a set of the performance and energy-efficiency optimizations to representative transactional scientific applications and investigate the potential for high-performance and energy-efficient runtime support. | - |
dc.identifier.bibliographicCitation | JOURNAL OF PARALLEL AND DISTRIBUTED COMPUTING, v.127, pp.1 - 17 | - |
dc.identifier.doi | 10.1016/j.jpdc.2018.12.007 | - |
dc.identifier.issn | 0743-7315 | - |
dc.identifier.scopusid | 2-s2.0-85060338221 | - |
dc.identifier.uri | https://scholarworks.unist.ac.kr/handle/201301/25852 | - |
dc.identifier.url | https://www.sciencedirect.com/science/article/pii/S0743731518304635?via%3Dihub | - |
dc.identifier.wosid | 000462807600001 | - |
dc.language | 영어 | - |
dc.publisher | ACADEMIC PRESS INC ELSEVIER SCIENCE | - |
dc.title | Analyzing and optimizing the performance and energy efficiency of transactional scientific applications on large-scale NUMA systems with HTM support | - |
dc.type | Article | - |
dc.description.isOpenAccess | FALSE | - |
dc.relation.journalWebOfScienceCategory | Computer Science, Theory & Methods | - |
dc.relation.journalResearchArea | Computer Science | - |
dc.description.journalRegisteredClass | scie | - |
dc.subject.keywordAuthor | Energy efficiency | - |
dc.subject.keywordAuthor | Hardware transactional memory | - |
dc.subject.keywordAuthor | Non-uniform memory access | - |
dc.subject.keywordAuthor | Scientific applications | - |
dc.subject.keywordAuthor | High performance | - |
dc.subject.keywordPlus | MEMORY | - |
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