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An efficient task mapping algorithm with power-aware optimization for network on chip

delete2016-10-01
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OA
AI
胡
胡威 (Wei Hu) *
Q
Qingsong Shi
Y
Yonghao Wang
K
Kai Zhang
J
Jun Liu
X
Xiaoming Liu
H
Hong Guo
DOI:10.1016/j.sysarc.2016.04.006delete
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摘要

摘要

En 中文
More and more cores are integrated onto a single chip to improve the performance and reduce the power consumption of CPU without the increased frequency. The cores are connected by lines and organized as a network, which is called network on chip (NOC) as the promising paradigm of the processor design. However, it is still a challenge to enhance performance with lower power consumption. The core issue is how to map the tasks to the different cores to take full advantages of the on-chip network. In this paper, we proposed a novel mapping algorithm with power-aware optimization for NOC. The traffic of the tasks will be analyzed. The tasks of the same application with high communication with the others will be mapped to the on-chip network as neighborhoods. And then the tasks of different applications are mapped to the cores step by step. The mapping of the tasks and the cores is computed at run-time dynamically and implement online. The experimental results showed that this proposed algorithm can reduce the power consumption in communication and the performance enhanced. (C) 2016 Elsevier B.V. All rights reserved.
Keyword:
Power consumption
Mapping algorithm
Communication
Network on chip
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期刊

Journal of Systems Architecture 封面图
Journal of Systems Architecture
IF:
4.1
论文数:
3.0K
被引数:
4.2K

机构

B
Birmingham City University
学者数:
68
论文数: 41
被引数: 0
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