Reducing Communication in Algebraic Multigrid Using Additive Variants

Vassilevski, Panayot S.; Yang, Ulrike Meier

doi:10.1002/nla.1928

Title: Reducing Communication in Algebraic Multigrid Using Additive Variants

Journal Article · Wed Feb 12 00:00:00 EST 2014 · Numerical Linear Algebra with Applications

DOI:https://doi.org/10.1002/nla.1928· OSTI ID:1237550

Vassilevski, Panayot S. ^[1]; Yang, Ulrike Meier ^[1]

Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)

Algebraic multigrid (AMG) has proven to be an effective scalable solver on many high performance computers. However, its increasing communication complexity on coarser levels has shown to seriously impact its performance on computers with high communication cost. Moreover, additive AMG variants provide not only increased parallelism as well as decreased numbers of messages per cycle but also generally exhibit slower convergence. Here we present various new additive variants with convergence rates that are significantly improved compared to the classical additive algebraic multigrid method and investigate their potential for decreased communication, and improved communication-computation overlap, features that are essential for good performance on future exascale architectures.

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Research Organization:: Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States)

Sponsoring Organization:: USDOE

Grant/Contract Number:: AC52-07NA27344

OSTI ID:: 1237550

Report Number(s):: LLNL-JRNL-637872

Journal Information:: Numerical Linear Algebra with Applications, Vol. 21, Issue 1; ISSN 1070-5325

Publisher:: WileyCopyright Statement

Country of Publication:: United States

Language:: English

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Cited by: 16 works

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References (16)

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Cited By (1)

Preparing sparse solvers for exascale computing Anzt, Hartwig; Boman, Erik; Falgout, Rob Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, Vol. 378, Issue 2166 https://doi.org/10.1098/rsta.2019.0053	journal	January 2020

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