Collective Behavior Bees for Solving HW/SW Partitioning and Scheduling Problems in RSoC
Khadidja Yahyaoui, Bouchoicha Mohammed · Transactions on Machine Learning and Artificial Intelligence · 2017
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.