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Algorithmic aspects for power-efficient hardware/software partitioning

Author

Listed:
  • Wu, Jigang
  • Srikanthan, Thambipillai
  • Yan, Chengbin

Abstract

Power efficiency is one of the major considerations in the current hardware/software co-designs. This paper models hardware/software partitioning as an optimization problem with objective of minimizing power consumption under the constraints: hardware area A and execution time E. An efficient heuristic algorithm with running time O(nlog⁡n) is proposed for the quality approximate solutions of the problems with n code fragments. Also, an exact algorithm based on dynamic programming is presented to produce the optimal solution in O(n⋅A⋅E). The optimal solution for small-sized problems is used to evaluate the performance of the approximate solution. The approximate solutions are compared experimentally with the optimal solutions in our empirical study. The average errors of the approximate solutions is less than 0.9% for the cases simulated in this paper.

Suggested Citation

  • Wu, Jigang & Srikanthan, Thambipillai & Yan, Chengbin, 2008. "Algorithmic aspects for power-efficient hardware/software partitioning," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 79(4), pages 1204-1215.
    • Handle: RePEc:eee:matcom:v:79:y:2008:i:4:p:1204-1215
    DOI: 10.1016/j.matcom.2007.09.003
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    References listed on IDEAS

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    1. Richard Loulou & Eleftherios Michaelides, 1979. "New Greedy-Like Heuristics for the Multidimensional 0-1 Knapsack Problem," Operations Research, INFORMS, vol. 27(6), pages 1101-1114, December.
    2. Freville, Arnaud, 2004. "The multidimensional 0-1 knapsack problem: An overview," European Journal of Operational Research, Elsevier, vol. 155(1), pages 1-21, May.
    3. Vasquez, Michel & Vimont, Yannick, 2005. "Improved results on the 0-1 multidimensional knapsack problem," European Journal of Operational Research, Elsevier, vol. 165(1), pages 70-81, August.
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