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

  • Authors:
  • Robert P. Dick;Niraj K. Jha

  • Affiliations:
  • Department of Electrical Engineering, Princeton University, Princeton, New Jersey;Department of Electrical Engineering, Princeton University, Princeton, New Jersey

  • Venue:
  • ICCAD '97 Proceedings of the 1997 IEEE/ACM international conference on Computer-aided design
  • Year:
  • 1997

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Abstract

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.