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A Linear Algebra Formulation for Optimising Replication in Data Parallel Programs

  • Olav Beckmann
  • Paul H. J. Kelly
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1863)

Abstract

In this paper, we present an efficient technique for optimising data replication under the data parallel programming model. We propose a precise mathematical representation for data replication which allows handling replication as an explicit, separate stage in the parallel data placement problem. This representation takes the form of an invertible mapping. We argue that this property is key to making data replication amenable to good mathematical optimisation algorithms. We further outline an algorithm for optimising data replication, based on this representation, which performs interprocedural data placement optimisation over a sequence of loop nests. We have implemented the algorithm and show performance figures.

Keywords

Loop Nest Data Replication Data Placement Simple Reduction Copy Function 
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 2000

Authors and Affiliations

  • Olav Beckmann
    • 1
  • Paul H. J. Kelly
    • 1
  1. 1.Department of ComputingImperial CollegeLondonUK

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