Knowledge Management System Of Institute of Semiconductors,CAS
SOC dynamic power management using artificial neural network | |
Lu, HX (Lu, Huaxiang); Lu, Y (Lu, Yan); Tang, ZF (Tang, Zhifang); Wang, SJ (Wang, Shoujue); Lu, HX, Chinese Acad Sci, Inst Semicond, Neural Network Lab, Beijing 100083, Peoples R China. | |
2006 | |
会议名称 | 6th International Conference on Intelligent Systems Design and Applications (ISDA 2006) |
会议录名称 | ISDA 2006 Sixth International Conference on Intelligent Systems Design and Applications |
页码 | Vol 1: 133-137 |
会议日期 | OCT 16-18, 2006 |
会议地点 | Jinan, PEOPLES R CHINA |
出版地 | 10662 LOS VAQUEROS CIRCLE, PO BOX 3014, LOS ALAMITOS, CA 90720-1264 USA |
出版者 | IEEE COMPUTER SOC |
ISBN | 0-7695-2528-8 |
部门归属 | chinese acad sci, inst semicond, neural network lab, beijing 100083, peoples r china |
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. |
关键词 | Power Management Bp Rbf |
学科领域 | 人工智能 |
主办者 | IEEE Syst Man & Cybernet Soc. Jinan Univ |
收录类别 | CPCI-S |
语种 | 英语 |
文献类型 | 会议论文 |
条目标识符 | http://ir.semi.ac.cn/handle/172111/9768 |
专题 | 中国科学院半导体研究所(2009年前) |
通讯作者 | Lu, HX, Chinese Acad Sci, Inst Semicond, Neural Network Lab, Beijing 100083, Peoples R China. |
推荐引用方式 GB/T 7714 | Lu, HX ,Lu, Y ,Tang, ZF ,et al. SOC dynamic power management using artificial neural network[C]. 10662 LOS VAQUEROS CIRCLE, PO BOX 3014, LOS ALAMITOS, CA 90720-1264 USA:IEEE COMPUTER SOC,2006:Vol 1: 133-137. |
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