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

doi:10.1016/j.mejo.2016.05.004

CORC > 计算技术研究所 > 中国科学院计算技术研究所 > 中国科学院计算技术研究所期刊论文 > 英文

	Statistical energy optimization on voltage-frequency island based MPSoCs in the presence of process variations
	Jin, Song 3; Han, Yinhe 2; Pei, Songwei 1
刊名	MICROELECTRONICS JOURNAL
	2016-07-01
卷号	54 页码:23-31
关键词	System energy Process variation Voltage-frequency island Multiprocessor system-on-chip
ISSN号	0026-2692
DOI	10.1016/j.mejo.2016.05.004
英文摘要	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.
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
语种	英语
出版者	ELSEVIER SCI LTD
WOS记录号	WOS:000381591100004
内容类型	期刊论文
源URL	[http://119.78.100.204/handle/2XEOYT63/8078]
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.Beijing Univ Chem Technol, Dept Comp Sci & Technol, Beijing, Peoples R China 2.Chinese Acad Sci, Inst Comp Technol, Key Lab Comp Syst & Architecture, Beijing 100864, Peoples R China 3.North China Elect Power Univ, Sch Elect & Elect Engn, Dept Elect & Commun Engn, 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.