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Energy aware task mapping algorithm for heterogeneous MPSoC based architectures

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4 Author(s)
Hussien, A.M.A. ; Sch. of Electr. Eng. & Comput. Sci., Univ. of California, Irvine, Irvine, CA, USA ; Eltawil, A.M. ; Amin, R. ; Martin, J.

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 multi-processor 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.

Published in:

Computer Design (ICCD), 2011 IEEE 29th International Conference on

Date of Conference:

9-12 Oct. 2011