TY - GEN
T1 - Energy aware task mapping algorithm for heterogeneous MPSoC based architectures
AU - Hussien, Amr M A
AU - Eltawil, Ahmed M.
AU - Amin, Rahul
AU - Martin, Jim
N1 - Generated from Scopus record by KAUST IRTS on 2019-11-20
PY - 2011/12/19
Y1 - 2011/12/19
N2 - 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.
AB - 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.
UR - http://ieeexplore.ieee.org/document/6081444/
UR - http://www.scopus.com/inward/record.url?scp=83455195261&partnerID=8YFLogxK
U2 - 10.1109/ICCD.2011.6081444
DO - 10.1109/ICCD.2011.6081444
M3 - Conference contribution
SN - 9781457719523
BT - Proceedings - IEEE International Conference on Computer Design: VLSI in Computers and Processors
ER -
