Scheduling moldable tasks for dynamic SMP clusters in soc technology

  • Authors:
  • Lukasz Masko;Pierre–Francois Dutot;Gregory Mounie;Denis Trystram;Marek Tudruj

  • Affiliations:
  • Institute of Computer Science of the Polish Academy of Sciences, Warsaw, Poland;Laboratoire Informatique et Distribution, IMAG, Montbonot St. Martin, France;Laboratoire Informatique et Distribution, IMAG, Montbonot St. Martin, France;Laboratoire Informatique et Distribution, IMAG, Montbonot St. Martin, France;Institute of Computer Science of the Polish Academy of Sciences, Warsaw, Poland

  • Venue:
  • PPAM'05 Proceedings of the 6th international conference on Parallel Processing and Applied Mathematics
  • Year:
  • 2005

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Abstract

The paper presents an algorithm for scheduling parallel programs for execution in a parallel architecture based on dynamic SMP processor clusters with data transfers on the fly. The algorithm is based on the concept of moldable computational tasks. First, an initial program graph is decomposed into sub–graphs, which are then treated as moldable tasks. So identified moldable tasks are then scheduled using an algorithm with warranted schedule length.