There are no files associated with this item.
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.citation.endPage | 645 | - |
dc.citation.number | 3 | - |
dc.citation.startPage | 630 | - |
dc.citation.title | IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS | - |
dc.citation.volume | 30 | - |
dc.contributor.author | Kim, Kyu Yeun | - |
dc.contributor.author | Park, Jinsu | - |
dc.contributor.author | Baek, Woongki | - |
dc.date.accessioned | 2023-12-21T19:36:53Z | - |
dc.date.available | 2023-12-21T19:36:53Z | - |
dc.date.created | 2018-11-19 | - |
dc.date.issued | 2019-03 | - |
dc.description.abstract | Hardware caches are widely employed in GPGPUs to achieve higher performance and energy efficiency. Incorporating hardware caches in GPGPUs, however, does not immediately guarantee enhanced performance and energy efficiency due to high cache contention and thrashing. To address the inefficiency of GPGPU caches, various adaptive techniques (e.g., warp limiting) have been proposed. However, relatively little work has been done in the context of creating an architectural framework that tightly integrates adaptive cache management techniques and investigating their effectiveness and interaction. To bridge this gap, we propose IACM, integrated adaptive cache management for high-performance and energy-efficient GPGPU computing. IACM integrates the state-of-the-art adaptive cache management techniques (i.e., cache indexing, bypassing, and warp limiting) in a unified architectural framework. Our quantitative evaluation demonstrates that IACM significantly improves the performance and energy efficiency of various GPGPU workloads over the baseline architecture (i.e., 98.1 and 61.9 percent on average, respectively), achieves considerably higher performance than the state-of-the-art technique (i.e., 361.4 percent at maximum and 7.7 percent on average), and delivers significant performance and energy-efficiency gains over the baseline GPGPU architecture enhanced with advanced architectural technologies. | - |
dc.identifier.bibliographicCitation | IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS, v.30, no.3, pp.630 - 645 | - |
dc.identifier.doi | 10.1109/TPDS.2018.2868658 | - |
dc.identifier.issn | 1045-9219 | - |
dc.identifier.scopusid | 2-s2.0-85052826257 | - |
dc.identifier.uri | https://scholarworks.unist.ac.kr/handle/201301/25211 | - |
dc.identifier.url | https://ieeexplore.ieee.org/document/8454288 | - |
dc.identifier.wosid | 000458820700011 | - |
dc.language | 영어 | - |
dc.publisher | IEEE COMPUTER SOC | - |
dc.title | Improving the Performance and Energy Efficiency of GPGPU Computing through Integrated Adaptive Cache Management | - |
dc.type | Article | - |
dc.description.isOpenAccess | FALSE | - |
dc.relation.journalWebOfScienceCategory | Computer Science, Theory & Methods; Engineering, Electrical & Electronic | - |
dc.relation.journalResearchArea | Computer Science; Engineering | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.subject.keywordAuthor | Integrated adaptive cache management | - |
dc.subject.keywordAuthor | GPGPU computing | - |
dc.subject.keywordAuthor | high performance | - |
dc.subject.keywordAuthor | energy efficiency | - |
Items in Repository are protected by copyright, with all rights reserved, unless otherwise indicated.
Tel : 052-217-1404 / Email : scholarworks@unist.ac.kr
Copyright (c) 2023 by UNIST LIBRARY. All rights reserved.
ScholarWorks@UNIST was established as an OAK Project for the National Library of Korea.