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Load Balancing for Spatial-grid-based Parallel Numeric Simulations on Clusters of SMPs
Genova, Italy February 05-February 07
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/EMPDP.2003.1183569Eleventh Euromicro Conference on Para ...
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Huaien Gao, Andreas Schmidt, Amitava Gupta, Peter Luksch, "Load Balancing for Spatial-grid-based Parallel Numeric Simulations on Clusters of SMPs," Parallel, Distributed, and Network-Based Processing, Euromicro Conference on, pp. 75, Eleventh Euromicro Conference on Parallel, Distributed and Network-Based Processing, 2003.
 
 
BibTex
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@article{ 10.1109/EMPDP.2003.1183569,
author = {Huaien Gao and Andreas Schmidt and Amitava Gupta and Peter Luksch},
title = {Load Balancing for Spatial-grid-based Parallel Numeric Simulations on Clusters of SMPs},
journal ={Parallel, Distributed, and Network-Based Processing, Euromicro Conference on},
volume = {0},
year = {2003},
issn = {1066-6192},
pages = {75},
doi = {http://doi.ieeecomputersociety.org/10.1109/EMPDP.2003.1183569},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
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TY - CONF
JO - Parallel, Distributed, and Network-Based Processing, Euromicro Conference on
TI - Load Balancing for Spatial-grid-based Parallel Numeric Simulations on Clusters of SMPs
SN - 1066-6192
SP
EP
A1 - Huaien Gao,
A1 - Andreas Schmidt,
A1 - Amitava Gupta,
A1 - Peter Luksch,
PY - 2003
KW - null
VL - 0
JA - Parallel, Distributed, and Network-Based Processing, Euromicro Conference on
ER -
 
Huaien Gao, Technical University, Munich, Germany
Andreas Schmidt, Technical University, Munich, Germany
Amitava Gupta, Technical University, Munich, Germany
Peter Luksch, Technical University, Munich, Germany
Load distribution is an essential factor to parallel efficiency of numerical simulations that are based on spatial grids, especially on clusters of symmetric multiprocessors (SMPs). This paper presents a method of mapping spatial grid nodes to processors that combines two load balancing methodologies, graph partitioning and graph matching, to achieve maximum parallel efficiency on SMP clusters. The method has been successfully applied to load distribution in a parallel Computational Fluid Dynamics (CFD) simulation. Test runs on a PC cluster prove the effectiveness of our method.
Citation:
Huaien Gao, Andreas Schmidt, Amitava Gupta, Peter Luksch, "Load Balancing for Spatial-grid-based Parallel Numeric Simulations on Clusters of SMPs," pdp, pp.75, Eleventh Euromicro Conference on Parallel, Distributed and Network-Based Processing, 2003
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