TIIS (한국인터넷정보학회)
Current Result Document :
| 한글제목(Korean Title) |
Low-power Scheduling Framework for Heterogeneous Architecture under Performance Constraint |
| 영문제목(English Title) |
Low-power Scheduling Framework for Heterogeneous Architecture under Performance Constraint |
| 저자(Author) |
Junke Li
Bing Guo
Yan Shen
Deguang Li
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| 원문수록처(Citation) |
VOL 14 NO. 05 PP. 2003 ~ 2021 (2020. 05) |
한글내용
(Korean Abstract) |
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영문내용
(English Abstract) |
Today’s computer systems are widely integrated with CPU and GPU to achieve considerable performance, but energy consumption of such system directly affects operational cost, maintainability and environmental problem, which has been aroused wide concern by researchers, computer architects, and developers. To cope with energy problem, we propose a task-scheduling framework to reduce energy under performance constraint by rationally allocating the tasks across the CPU and GPU. The framework first collects the estimated energy consumption of programs and performance information. Next, we use above information to formalize the scheduling problem as the 0-1 knapsack problem. Then, we elaborate our experiment on typical platform to verify proposed scheduling framework. The experimental results show that our proposed algorithm saves 14.97% energy compared with that of the time-oriented policy and yields 37.23% performance improvement than that of energy-oriented scheme on average.
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| 키워드(Keyword) |
Energy saving
heterogeneous architecture
integer programming
resource allocation
scheduling framework
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| 파일첨부 |
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