NoC Mapping for Heterogeneous Multi-core Cooperative System Based on Chaotic Discrete Particle Swarm Optimization
异构多核协作系统的混沌离散粒子群NoC映射算法

Heterogeneous multi-core cooperative networks on-chip(NoC) mapping was split into two stages; assigning the tasks to the suitable IP cores, and then mapping the IP cores to the appropriate NoC tiles. ho deal with the different characteristics of these two successive stages, a coarse model and an accurate model of energy consumption or delay estimation were proposed respectively. A discrete particle swarm optimization with chaotic disturbance was proposed to solve the multi-objective NoC mapping problems, where a chaotic disturbance mechanism was designed to avoid obtaining local optimal solutions. The simulation results are better than that obtained by traditional schemes significantly.