A hybrid heuristic algorithm for HW-SW partitioning within timed automata

  • Authors:
  • Geguang Pu;Zhang Chong;Zongyan Qiu;Zuoquan Lin;He Jifeng

  • Affiliations:
  • Software Engineering Institute, East China Normal University, Shanghai, China;LMAM, Department of Informatics, School of Math., Peking University, Beijing, China;LMAM, Department of Informatics, School of Math., Peking University, Beijing, China;LMAM, Department of Informatics, School of Math., Peking University, Beijing, China;Software Engineering Institute, East China Normal University, Shanghai, China

  • Venue:
  • KES'06 Proceedings of the 10th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part I
  • Year:
  • 2006

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Abstract

Hardware/Software (HW-SW) partitioning is a critical problem in co-design of embedded systems. This paper focuses on the synchronous system model, and formalizes the partitioning problem using timed automata (TA), which captures the key elements of the partitioning problem. Based on the TA model, we propose a hybrid heuristic algorithm to obtain near-optimal solutions effectively and efficiently. The experiments conducted show that our approach can deal with large applications with hundreds of nodes in task graph.