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dc.contributor.author박영준-
dc.date.accessioned2022-03-21T07:51:05Z-
dc.date.available2022-03-21T07:51:05Z-
dc.date.issued2020-07-
dc.identifier.citation2020 57th ACM/IEEE Design Automation Conference (DAC), page. 1-6en_US
dc.identifier.isbn978-1-7281-1085-1-
dc.identifier.urihttps://ieeexplore.ieee.org/document/9218711?arnumber=9218711&SID=EBSCO:edseee-
dc.identifier.urihttps://repository.hanyang.ac.kr/handle/20.500.11754/169271-
dc.description.abstractEfficient GPU resource-sharing between multiple kernels has recently been a critical factor on overall performance. While previous works mainly focused on how to allocate resources to two kernels, there has been limited amount of work on determining which workloads to concurrently execute among multiple workloads. Therefore, we first demonstrate on a real GPU system how the selection of concurrent workloads can have significant impact on overall performance. We then propose GPU Navigator – a lookup-table-based dynamic multi-kernel scheduler that maximizes overall performance through online profiling. Our evaluation shows that GPU Navigator outperforms a greedy policy by 29.3% on average.en_US
dc.description.sponsorshipWe would like to thank to Jason Jong Kyu Park for his valuable feedback. This work was supported in part by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIP)(No.2018R1D1A1B07050609, No.2015M3C4A7065647, No.2020R1A2B5B01001687), ICT R&D program of MSIP/IITP (No.2017-0-00142), and the R&D program of MOTIE/KEIT (No.10077609). Yongjun Park is the corresponding author.en_US
dc.language.isoenen_US
dc.publisherIEEEen_US
dc.subjectGPGPUen_US
dc.subjectSpatial Multitaskingen_US
dc.subjectSimultaneous Multitaskingen_US
dc.subjectmulti-kernelen_US
dc.titleNavigator: Dynamic Multi-kernel Scheduling to Improve GPU Performanceen_US
dc.typeArticleen_US
dc.identifier.doi10.1109/DAC18072.2020.9218711-
dc.relation.page1-6-
dc.contributor.googleauthorKim, Jiho-
dc.contributor.googleauthorKim, John-
dc.contributor.googleauthorPark, Yongjun-
dc.relation.code20200058-
dc.sector.campusS-
dc.sector.daehakCOLLEGE OF ENGINEERING[S]-
dc.sector.departmentSCHOOL OF COMPUTER SCIENCE-
dc.identifier.pidyongjunpark-
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COLLEGE OF ENGINEERING[S](공과대학) > COMPUTER SCIENCE(컴퓨터소프트웨어학부) > Articles
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