Energy aware task mapping algorithm for heterogeneous MPSoC based architectures

Amr M A Hussien, Ahmed M. Eltawil, Rahul Amin, Jim Martin

Research output: Chapter in Book/Report/Conference proceedingConference contribution

9 Scopus citations


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. © 2011 IEEE.
Original languageEnglish (US)
Title of host publicationProceedings - IEEE International Conference on Computer Design: VLSI in Computers and Processors
StatePublished - Dec 19 2011
Externally publishedYes

Bibliographical note

Generated from Scopus record by KAUST IRTS on 2019-11-20


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