Task partitionings for parallel triangular solver on a MIMD computer

  • Authors:
  • Junming Qin;T. Kai Yun Chan

  • Affiliations:
  • -;-

  • Venue:
  • HPDC '96 Proceedings of the 5th IEEE International Symposium on High Performance Distributed Computing
  • Year:
  • 1996

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Abstract

Considers a parallel triangular solver on a distributed-memory MIMD computer. Three task partitioning methods are discussed, with both task assignment and task scheduling. Their estimated times are provided by using a performance model and a parallel performance evaluation methodology. The optimal task granularities are deduced by the analysis of their performance. Experiences on a transputer-based multicomputer are given.