Institute of Computing Technology, Chinese Academy IR
A Cost-Effective Energy Optimization Framework of Multicore SoCs Based on Dynamically Reconfigurable Voltage-Frequency Islands | |
Jin, Song1; Pei, Songwei2; Han, Yinhe3; Li, Huawei3 | |
2016 | |
发表期刊 | ACM TRANSACTIONS ON DESIGN AUTOMATION OF ELECTRONIC SYSTEMS |
ISSN | 1084-4309 |
卷号 | 21期号:2页码:14 |
摘要 | Voltage-frequency island (VFI)-based design has been widely exploited for optimizing system energy of embedded multicore chip in recent years. The existing work either constructed a single static VFI partition for all kinds of applications or required per-core voltage domain configuration. However, the former solution is hard to find one optimal VFI partition for diverse applications while the latter one suffers from high hardware cost. In this article, we propose a cost effective energy optimization framework based on dynamically reconfigurable VFI (D-VFI). Our framework treats a small number of cores as dynamic cores (D-cores) and configures each of them with an independent voltage domain. At runtime, the D-cores can be pieced together with neighboring static VFIs by scaling their operating voltages. This can dynamically construct the optimal VFI partitions for different kinds of applications, thus achieving more aggressive energy optimization under low cost. To identify the D-cores, we propose a rules constrained task scheduling and VFI partitioning algorithm. Moreover, we analyze the task schedules to determine the optimal scaling intervals which can accommodate voltage scaling induced latency. Experimental results demonstrate that the effectiveness of the proposed scheme. |
关键词 | System energy dynamic voltage-frequency island task scheduling VFI partitioning multicore system-on-chip energy |
DOI | 10.1145/2817207 |
收录类别 | SCI |
语种 | 英语 |
资助项目 | National Basic Research Program of China (973)[2011CB302503] ; National Natural Science Foundation of China[61204027] ; National Natural Science Foundation of China[61432017] ; National Natural Science Foundation of China[61402031] ; Natural Science Foundation of Hebei province of China[F2013502274] ; Fundamental Research Funds for the Central Universities[2014ZD32] |
WOS研究方向 | Computer Science |
WOS类目 | Computer Science, Hardware & Architecture ; Computer Science, Software Engineering |
WOS记录号 | WOS:000370550400009 |
出版者 | ASSOC COMPUTING MACHINERY |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.204/handle/2XEOYT63/8784 |
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, Dept Elect & Commun Engn, Beijing 071001, Peoples R China 2.Beijing Univ Chem Technol, Dept Comp Sci & Technol, Beijing 100029, Peoples R China 3.Chinese Acad Sci, Inst Comp Technol, State Key Lab Comp Architecture, Beijing 100190, Peoples R China |
推荐引用方式 GB/T 7714 | Jin, Song,Pei, Songwei,Han, Yinhe,et al. A Cost-Effective Energy Optimization Framework of Multicore SoCs Based on Dynamically Reconfigurable Voltage-Frequency Islands[J]. ACM TRANSACTIONS ON DESIGN AUTOMATION OF ELECTRONIC SYSTEMS,2016,21(2):14. |
APA | Jin, Song,Pei, Songwei,Han, Yinhe,&Li, Huawei.(2016).A Cost-Effective Energy Optimization Framework of Multicore SoCs Based on Dynamically Reconfigurable Voltage-Frequency Islands.ACM TRANSACTIONS ON DESIGN AUTOMATION OF ELECTRONIC SYSTEMS,21(2),14. |
MLA | Jin, Song,et al."A Cost-Effective Energy Optimization Framework of Multicore SoCs Based on Dynamically Reconfigurable Voltage-Frequency Islands".ACM TRANSACTIONS ON DESIGN AUTOMATION OF ELECTRONIC SYSTEMS 21.2(2016):14. |
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