Title :
Load balancing for spatial-grid-based parallel numeric simulations on clusters of SMPs
Author :
Gao, Huaien ; Schmidt, Andreas ; Gupta, Amitava ; Luksch, Peter
Author_Institution :
Tech. Univ. Munich, Germany
Abstract :
Load distribution is an essential factor to parallel efficiency of numerical simulations that are based on spatial grids, especially on clusters of symmetric multiprocessors (SMP). 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.
Keywords :
computational fluid dynamics; distributed memory systems; grid computing; numerical analysis; parallel programming; performance evaluation; resource allocation; CFD simulation; SMP clusters; computational fluid dynamics; graph matching; graph partitioning; load balancing; maximum parallel efficiency; numerical simulations; parallel numeric simulations; spatial grids; symmetric multiprocessors; Clustering algorithms; Computational fluid dynamics; Computational modeling; Costs; Grid computing; Load management; Mathematical programming; Numerical simulation; Switched-mode power supply; Testing;
Conference_Titel :
Parallel, Distributed and Network-Based Processing, 2003. Proceedings. Eleventh Euromicro Conference on
Conference_Location :
Genova, Italy
Print_ISBN :
0-7695-1875-3
DOI :
10.1109/EMPDP.2003.1183569
