MOGAC: A multiobjective genetic algorithm for the co-synthesis of hardware-software embedded systems

Robert P. Dick, Niraj K. Jha

Research output: Contribution to journalConference articlepeer-review

55 Scopus citations


In this paper, we present a hardware-software co-synthesis system, called MOGAC, that partitions and schedules embedded system specifications consisting of multiple periodic task graphs. MOGAC synthesizes real-time heterogeneous distributed architectures using an adaptive multiobjective genetic algorithm that can escape local minima. Price and power consumption are optimized while hard real-time constraints are met. MOGAC places no limit on the number of hardware or software processing elements in the architectures it synthesizes. Our general model for bus and point-to-point communication links allows a number of link types to be used in an architecture. Application-specific integrated circuits consisting of multiple processing elements are modeled. Heuristics are used to tackle multi-rate systems, as well as systems containing task graphs whose hyperperiods are large relative to their periods. The application of a multiobjective optimization strategy allows a single co-synthesis run to produce multiple designs which trade off different architectural features. Experimental results indicate that MOGAC has advantages over previous work in terms of solution quality and running time.

Original languageEnglish (US)
Pages (from-to)522-529
Number of pages8
JournalIEEE/ACM International Conference on Computer-Aided Design, Digest of Technical Papers
StatePublished - 1997
EventProceedings of the 1997 IEEE/ACM International Conference on Computer-Aided Design, ICCAD - San Jose, CA, USA
Duration: Nov 9 1997Nov 13 1997

All Science Journal Classification (ASJC) codes

  • Software
  • Computer Science Applications
  • Computer Graphics and Computer-Aided Design


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