Hardware/Software Partitioning for Heterogeneous Multicore SoC Using Genetic Algorithm

Author

Luo, Li ; He, Hongjun ; Dou, Qiang ; Xu, Weixia

Author_Institution

Sch. of Comput., Nat. Univ. of Defense Technol., Changsha, China

fYear

2012

Firstpage

1267

Lastpage

1270

Abstract

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.

Keywords

genetic algorithms; graph theory; hardware-software codesign; multiprocessing systems; system-on-chip; NOC; communicating structure; genetic algorithm; hardware-software codesign; hardware-software partitioning; heterogeneous multicore system on chip; processing engines; task graphs; Genetic algorithms; Hardware; Heuristic algorithms; Partitioning algorithms; Software; Software algorithms; System-on-a-chip; Genetic Algorithm(GA); Hardware/Software Partitioning; Heterogeneous Multicore SOC;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent System Design and Engineering Application (ISDEA), 2012 Second International Conference on

Conference_Location

Sanya, Hainan

Print_ISBN

978-1-4577-2120-5

Type

conf

DOI

10.1109/ISdea.2012.501

Filename

6173439