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Stochastic DFS for Multiprocessor Scheduling of Cyclic Taskgraphs

  • Frode Eika Sandnes
  • Oliver Sinnen
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3320)

Abstract

DFS has previously been shown to be a simple and efficient strategy for removing cycles in graphs allowing the resulting DAGs to be scheduled using one of the many well-established DAG multiprocessor scheduling algorithms. In this paper, we investigate the inefficiencies of schedules acquired using DFS cycle removal. Further, an improved randomised DFS cycle removal algorithm is proposed that produces significantly improved results with acceptable computational overheads.

Keywords

Directed Acyclic Graph Critical Path Sparse Graph Multiprocessor Schedule Back Edge 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2004

Authors and Affiliations

  • Frode Eika Sandnes
    • 1
  • Oliver Sinnen
    • 2
  1. 1.Oslo University CollegeOsloNorway
  2. 2.Dept. of Electrical and Computer EngineeringUniversity of AucklandAucklandNew Zealand

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