Axis Communication Method for Algebraic Multigrid Solver
Summary :
Communication costs have become a performance bottleneck in many applications, and are a big issue for high performance computing on massively parallel machines. This paper proposes a halo exchange method for unstructured sparse matrix vector products within the algebraic multigrid method, and evaluate it on a supercomputer with mesh/torus networks. In our numerical tests with a Poisson problem, the proposed method accelerates the linear solver more than 14 times with 23040 cores.
- Publication
- IEICE TRANSACTIONS on Information Vol.E97-D No.11 pp.2955-2958
- Publication Date
- 2014/11/01
- Publicized
- Online ISSN
- 1745-1361
- DOI
- 10.1587/transinf.2014EDL8052
- Type of Manuscript
- LETTER
- Category
- Computer System
Authors
Akihiro FUJII
Kogakuin University
Osni MARQUES
Lawrence Berkeley National Laboratory
Keyword
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Akihiro FUJII, Osni MARQUES, "Axis Communication Method for Algebraic Multigrid Solver" in IEICE TRANSACTIONS on Information,
vol. E97-D, no. 11, pp. 2955-2958, November 2014, doi: 10.1587/transinf.2014EDL8052.
Abstract: Communication costs have become a performance bottleneck in many applications, and are a big issue for high performance computing on massively parallel machines. This paper proposes a halo exchange method for unstructured sparse matrix vector products within the algebraic multigrid method, and evaluate it on a supercomputer with mesh/torus networks. In our numerical tests with a Poisson problem, the proposed method accelerates the linear solver more than 14 times with 23040 cores.
URL: https://global.ieice.org/en_transactions/information/10.1587/transinf.2014EDL8052/_p
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@ARTICLE{e97-d_11_2955,
author={Akihiro FUJII, Osni MARQUES, },
journal={IEICE TRANSACTIONS on Information},
title={Axis Communication Method for Algebraic Multigrid Solver},
year={2014},
volume={E97-D},
number={11},
pages={2955-2958},
abstract={Communication costs have become a performance bottleneck in many applications, and are a big issue for high performance computing on massively parallel machines. This paper proposes a halo exchange method for unstructured sparse matrix vector products within the algebraic multigrid method, and evaluate it on a supercomputer with mesh/torus networks. In our numerical tests with a Poisson problem, the proposed method accelerates the linear solver more than 14 times with 23040 cores.},
keywords={},
doi={10.1587/transinf.2014EDL8052},
ISSN={1745-1361},
month={November},}
Copy
TY - JOUR
TI - Axis Communication Method for Algebraic Multigrid Solver
T2 - IEICE TRANSACTIONS on Information
SP - 2955
EP - 2958
AU - Akihiro FUJII
AU - Osni MARQUES
PY - 2014
DO - 10.1587/transinf.2014EDL8052
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E97-D
IS - 11
JA - IEICE TRANSACTIONS on Information
Y1 - November 2014
AB - Communication costs have become a performance bottleneck in many applications, and are a big issue for high performance computing on massively parallel machines. This paper proposes a halo exchange method for unstructured sparse matrix vector products within the algebraic multigrid method, and evaluate it on a supercomputer with mesh/torus networks. In our numerical tests with a Poisson problem, the proposed method accelerates the linear solver more than 14 times with 23040 cores.
ER -
English
