Hardware/Software Partitioning for Heterogeneous Multicore SOC Using Particle Swarm Optimization and Immune Clone (PSO-IC ) Algorithm

摘要：

Hardware/Software partitioning is one of the critical steps in Hardware/Software Co-Design flow, and has very important influence on the system performance. Hardware/Software partitioning is also a NP-hard problem. In this paper, we present a new Hardware/Software partitioning algorithm called PSO-IC for heterogeneous multicore SOC, which combines particle swarm optimization (PSO) algorithm and immune clone (IC) algorithm. Comparing with GA and PSO algorithm, the experiment shows that our algorithm can acquire better trade-off between partitioning time and optimization quality. So our algorithm is an effective hardware/software partitioning algorithm.

关键词： hardware/software partitioning heterogeneous multicore SOC (system on a chip) genetic algorithm (GA) particle swarm optimization (PSO) immune clone(IC)

作者: Li Luo Hongjun He Chunke Liao Qiang Dou Weixia Xu

作者单位: School of Computer Science,National University of Defense Technology,Changsha,Hunan Province,China

会议类型: 国际会议

会议名称: 2010 IEEE信息与自动化国际会议(ICIA 2010)

会议地点: 哈尔滨

会议语种:英文

页码: 1-5

在线出版日期: 2010-06-20（万方平台首次上网日期，不代表论文的发表时间）