异构多核协作系统的混沌离散粒子群NoC映射算法

针对异构多核片上网络(NoO的任务映射问题，根据IP核的选择以及IP核向NoC平台中位置映射的两个阶段的不同特点，分别提出能耗和延时的粗略估算模型和精确计算模型。为避免离散空间搜索解落入局部最优，设计了混沌扰动机制。提出了带混沌扰动机制的改进型离散粒子群优化算法，以搜索能耗和延时优化的多目标NoC映射方案，该算法比传统优化算法在能耗和延时上有显著的性能提高。

NoC Mapping for Heterogeneous Multi-core Cooperative System Based on Chaotic Discrete Particle Swarm Optimization

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.