Collective Behavior Bees for Solving HW/SW Partitioning and Scheduling Problems in RSoC
Journal Title: Transactions on Machine Learning and Artificial Intelligence - Year 2017, Vol 5, Issue 4
Abstract
In the codesign domain, many hardware and software techniques must be developed to satisfy specific constraints in terms of computation time, area, performance, power consumption, etc. This paper introduces an automatic approach To 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 used algorithm is inspired by the collective behavior of social insects such 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.
Authors and Affiliations
Yahyaoui Khadidja, Bouchoicha Mohammed
Keywords
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- EP ID EP309099
- DOI 10.14738/tmlai.54.3205
- Views 64
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