Collective Behavior Bees for Solving HW/SW Partitioning and Scheduling Problems in RSoC

Authors

  • Yahyaoui Khadidja Department of math Faculty of Exact Sciences University of Mascara, 29000 Algeria
  • Bouchoicha Mohammed Department of math Faculty of Exact Sciences University of Mascara, 29000 Algeria

DOI:

https://doi.org/10.14738/tmlai.54.3205

Keywords:

RSoC, HW/SW partitioning, scheduling, Honey Bee Mating Optimization, Genetic algorithm.

Abstract

In the codesigndomain, many hardware and software techniques must bedeveloped to satisfyspecificconstraints in terms of computation time, area, performance, power consumption, etc.This paperintroduces an automaticapproachTo perform HW/SW partitioning and scheduling such that the global application execution time is minimized and the majority area of FPGA ( Field programmable gate array) used in RSoC ( Reconfigurable System on Chip)  is exploited. The usedalgorithmisinspiredby the collective behavior of social insectssuch as bees. : Honey Bees Mating Optimization (HBMO). Comparing the proposed method with Genetic algorithm, the simulation results show that the proposed algorithm has better convergence performance.



References

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Published

2017-09-01

How to Cite

Khadidja, Y., & Mohammed, B. (2017). Collective Behavior Bees for Solving HW/SW Partitioning and Scheduling Problems in RSoC. Transactions on Machine Learning and Artificial Intelligence, 5(4). https://doi.org/10.14738/tmlai.54.3205

Issue

Section

Special Issue : 1st International Conference on Affective computing, Machine Learning and Intelligent Systems