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题名: SOC dynamic power management using artificial neural network
作者: Lu, HX (Lu, Huaxiang);  Lu, Y (Lu, Yan);  Tang, ZF (Tang, Zhifang);  Wang, SJ (Wang, Shoujue)
出版日期: 2006
会议日期: OCT 16-18, 2006
摘要: Dynamic Power Management (DPM) is a technique to reduce power consumption of electronic system by selectively shutting down idle components. In this article we try to introduce back propagation network and radial basis network into the research of the system-level power management policies. We proposed two PM policies-Back propagation Power Management (BPPM) and Radial Basis Function Power Management (RBFPM) which are based on Artificial Neural Networks (ANN). Our experiments show that the two power management policies greatly lowered the system-level power consumption and have higher performance than traditional Power Management(PM) techniques-BPPM is 1.09-competitive and RBFPM is 1.08-competitive vs. 1.79 . 1.45 . 1.18-competitive separately for traditional timeout PM . adaptive predictive PM and stochastic PM.
会议名称: 6th International Conference on Intelligent Systems Design and Applications (ISDA 2006)
KOS主题词: Base pair
会议文集: ISDA 2006 Sixth International Conference on Intelligent Systems Design and Applications
专题: 中国科学院半导体研究所(2009年前)_会议论文

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推荐引用方式:
Lu, HX (Lu, Huaxiang); Lu, Y (Lu, Yan); Tang, ZF (Tang, Zhifang); Wang, SJ (Wang, Shoujue) .SOC dynamic power management using artificial neural network .见:IEEE COMPUTER SOC .ISDA 2006 Sixth International Conference on Intelligent Systems Design and Applications,10662 LOS VAQUEROS CIRCLE, PO BOX 3014, LOS ALAMITOS, CA 90720-1264 USA ,2006,Vol 1: 133-137
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