Hardware/Software Partitioning for Heterogeneous Multicore SoC Using Genetic Algorithm
Hardware/software partitioning is a crucial problem in hardware/software co-design. In this paper, we deeply investigate genetic algorithm (GA) for hardware/software partitioning , our co-design targets a heterogeneous multicore system on chip (SoC) which consists of several different types of processing engines(PE), Communicating structure adopts NOC, We use GA for four task graphs to simulate the hardware/software partitioning, experiments show our method is an effective hardware/software partitioning algorithm.
Hardware/Software Partitioning Genetic Algorithm(GA) Heterogeneous Multicore SOC
Li Luo Hongjun He Qiang Dou Weixia Xu
School of Computer, National University of Defense TechnologyChangsha, Hunan Province, China School of Computer, National University of Defense Technology Changsha, Hunan Province, China
国际会议
三亚
英文
1267-1270
2012-01-06(万方平台首次上网日期,不代表论文的发表时间)