Statistical energy optimization on voltage-frequency island based MPSoCs in the presence of process variations

doi:10.1016/j.mejo.2016.05.004

	Statistical energy optimization on voltage-frequency island based MPSoCs in the presence of process variations
	Jin, Song 1; Han, Yinhe 2; Pei, Songwei 3
	2016-07-01
发表期刊	MICROELECTRONICS JOURNAL
ISSN	0026-2692
卷号	54 页码:23-31
摘要	Energy efficiency has become a primary design concern for embedded multiprocessor system-on-chips (MPSoCs). Recently, voltage-frequency island (VFI)-based design paradigm was proposed to optimize system energy by combining with task scheduling. However, the ever-increasing variations cause large uncertainty for delay and power of the processors, resulting in performance parameters of the VFIs also manifesting as statistical distribution. As a result, it is more difficult for the deterministic energy optimization to achieve desirable performance yield, defined as the probability of the design meeting timing constraints of the system. In this paper, we propose a variation-aware statistical energy optimization framework which takes account of performance yield constraints in the overall optimization flow. We observed that statistical features of parameter distributions in homogeneous and heterogeneous platforms are different. We hence define two effective metrics, namely energy optimization sensitivity (EOS) and lowest operating voltage (LOV), to make our framework adapt to both of the platforms. Experimental results demonstrate that on average our framework achieves performance yield improvement of 45% than the deterministic scheme. In respect of energy optimization, on average our framework achieves energy reduction of 33% than the existing statistical task scheduling algorithm. (C) 2016 Elsevier Ltd. All rights reserved.
关键词	System energy Process variation Voltage-frequency island Multiprocessor system-on-chip
DOI	10.1016/j.mejo.2016.05.004
收录类别	SCI
语种	英语
资助项目	National Natural Science Foundation of China (NSFC)[61204027] ; Natural Science Foundation of Hebei province of China[F2013502274] ; Fundamental Research Funds for the Central Universities[2014ZD32]
WOS研究方向	Engineering ; Science & Technology - Other Topics
WOS类目	Engineering, Electrical & Electronic ; Nanoscience & Nanotechnology
WOS记录号	WOS:000381591100004
出版者	ELSEVIER SCI LTD
引用统计	被引频次：6[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://119.78.100.204/handle/2XEOYT63/8079
专题	中国科学院计算技术研究所期刊论文_英文
通讯作者	Pei, Songwei
作者单位	1.North China Elect Power Univ, Sch Elect & Elect Engn, Dept Elect & Commun Engn, Beijing, Peoples R China 2.Chinese Acad Sci, Inst Comp Technol, Key Lab Comp Syst & Architecture, Beijing 100864, Peoples R China 3.Beijing Univ Chem Technol, Dept Comp Sci & Technol, Beijing, Peoples R China
推荐引用方式 GB/T 7714	Jin, Song,Han, Yinhe,Pei, Songwei. Statistical energy optimization on voltage-frequency island based MPSoCs in the presence of process variations[J]. MICROELECTRONICS JOURNAL,2016,54:23-31.
APA	Jin, Song,Han, Yinhe,&Pei, Songwei.(2016).Statistical energy optimization on voltage-frequency island based MPSoCs in the presence of process variations.MICROELECTRONICS JOURNAL,54,23-31.
MLA	Jin, Song,et al."Statistical energy optimization on voltage-frequency island based MPSoCs in the presence of process variations".MICROELECTRONICS JOURNAL 54(2016):23-31.