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An Optimal Broadcast Algorithm Adapted to SMP Clusters

  • Jesper Larsson Träff
  • Andreas Ripke
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3666)

Abstract

We describe and and evaluate the adaption of a new, optimal broadcast algorithm for “flat”, fully connected networks to clusters of SMP nodes. The optimal broadcast algorithm improves over other commonly used broadcast algorithms (pipelined binary trees, recursive halving) by up to a factor of two for the non-hierarchical (non-SMP) case. The algorithm is well suited for clusters of SMP nodes, since intra-node broadcast of relatively small blocks can take place concurrently with inter-node communication over the network. This new algorithm has been incorporated into a state-of-the art MPI library. On a 32-node dual-processor AMD cluster with Myrinet interconnect, improvements of a factor of 1.5 over for instance a pipelined binary tree algorithm has been achieved, both for the case with one and with two MPI processes per node.

Keywords

Message Passing Interface Collective Operation Broadcast Algorithm Binomial Tree Communication Round 
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 2005

Authors and Affiliations

  • Jesper Larsson Träff
    • 1
  • Andreas Ripke
    • 1
  1. 1.C&C Research Laboratories, NEC Europe Ltd.Sankt AugustinGermany

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