Energy Aware Task Mapping Algorithm For Heterogeneous MPSoC Based Architectures

被引:0
|
作者
Hussien, Amr M. A. [1 ]
Eltawil, Ahmed M. [1 ]
Amin, Rahul [2 ]
Martin, Jim [2 ]
机构
[1] Univ Calif Irvine, Sch Elect Engn & Comp Sci, Irvine, CA 92623 USA
[2] Clemson Univ, Sch Comp, Clemson, SC 29634 USA
关键词
D O I
暂无
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
Energy Management for multi-mode Software Defined Radio (SDR) systems remains a daunting challenge. In this paper, we focus on the issue of task allocation for multiprocessor based systems with hybrid processing resources that can be reconfigured. With the objective of minimizing energy, we propose a fast, energy aware static task mapping heuristic to minimize the average overall energy consumption. Simulation results show that the proposed heuristic is capable of achieving results that are within 20% of the optimal solution while providing orders of magnitude speedup in processing time.
引用
收藏
页码:449 / +
页数:2
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