Cost-minimal pre-allocation of software tasks under real-time constraints

  • Authors:
  • Brian Clark;Ingo Stierand;Eike Thaden

  • Affiliations:
  • Institute for Information Technology, Germany;University of Oldenburg, Germany;Institute for Information Technology, Germany

  • Venue:
  • Proceedings of the 2011 ACM Symposium on Research in Applied Computation
  • Year:
  • 2011

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Abstract

In this paper we motivate, mathematically formulate, and evaluate a novel approach for finding good pre-allocations for software tasks together with their communication messages onto a hardware system. The hardware system is composed of subsystems connected via a global communication bus. Each subsystem contains one or more processors whose type can be chosen from a set of processor types with different properties, such as monetary cost, available memory, etc. The overall optimization objective is to minimize the sum of all processor costs. This is done using a Satisfiability Modulo Theories solver with an extension for performing binary search on input variables.