High-Level Topology-Oblivious Optimization of MPI Broadcast Algorithms on Extreme-Scale Platforms

Khalid Hasanov, Jean-Noël Quintin, Alexey Lastovetsky

Research output: Chapter in Book/Report/Conference proceedingChapter

4 Scopus citations

Abstract

There has been a significant research in collective communication operations, in particular in MPI broadcast, on distributed memory platforms. Most of the research works are done to optimize the collective operations for particular architectures by taking into account either their topology or platform parameters. In this work we propose a very simple and at the same time general approach to optimize legacy MPI broadcast algorithms, which are widely used in MPICH and OpenMPI. Theoretical analysis and experimental results on IBM BlueGene/P and a cluster of Grid’5000 platform are presented.
Original languageEnglish (US)
Title of host publicationEuro-Par 2014: Parallel Processing Workshops
PublisherSpringer Nature
Pages412-424
Number of pages13
ISBN (Print)9783319143125
DOIs
StatePublished - 2014
Externally publishedYes

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