Conditional scheduling for embedded systems using genetic list scheduling

  • Authors:
  • Martin Grajcar

  • Affiliations:
  • University of Passau, Chair of Computer Architectures, grajcar@lrs.uni-passau.de

  • Venue:
  • ISSS '00 Proceedings of the 13th international symposium on System synthesis
  • Year:
  • 2000

Quantified Score

Hi-index 0.00

Visualization

Abstract

One important part of a HW/SW codesign system is the scheduler which is needed in order to determine if a given HW/SW partitioning is suitable for a given application. In this paper, we employ a dataflow model for scheduling a computation including conditional branches on a loosely coupled heterogeneous multiprocessor system. The goal is to minimize the worst-case makespan while satisfying constraints implied by data dependencies and exclusive resource usage.We present a formal model which allows multiple schedule optimizations and a new efficient heuristic approach based on genetic algorithms and list scheduling.