• KSII Transactions on Internet and Information Systems
    Monthly Online Journal (eISSN: 1976-7277)

Low-power Scheduling Framework for Heterogeneous Architecture under Performance Constraint

Vol. 14, No. 5, May 31, 2020
10.3837/tiis.2020.05.008, Download Paper (Free):

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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Cite this article

[IEEE Style]
J. Li, B. Guo, Y. Shen and D. Li, "Low-power Scheduling Framework for Heterogeneous Architecture under Performance Constraint," KSII Transactions on Internet and Information Systems, vol. 14, no. 5, pp. 2003-2021, 2020. DOI: 10.3837/tiis.2020.05.008.

[ACM Style]
Junke Li, Bing Guo, Yan Shen, and Deguang Li. 2020. Low-power Scheduling Framework for Heterogeneous Architecture under Performance Constraint. KSII Transactions on Internet and Information Systems, 14, 5, (2020), 2003-2021. DOI: 10.3837/tiis.2020.05.008.