Abstract | ||
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Grid computing can be used for high performance computations. However, a serious difficulty in concurrent programming of such heterogeneous systems is how to deal with scheduling and load balancing of such systems which may consist of heterogeneous computers on different sites. Distributed scheduling schemes suitable for parallel loops with independent iterations on heterogeneous computer clusters have been proposed and analyzed in the past. In this article, we implement the previous schemes in MPICH-G2 and MPIg on the TeraGrid. We present performance results for three loop scheduling schemes on single and multi-site TeraGrid clusters. |
Year | DOI | Venue |
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2007 | 10.1109/IPDPS.2007.370551 | Long Beach, CA |
Keywords | Field | DocType |
grid computing,resource allocation,scheduling,concurrent programming,distributed loop scheduling,grid computing,heterogeneous systems,load balancing,multisite TeraGrid clusters | TeraGrid,Grid computing,Fair-share scheduling,Scheduling (computing),Computer science,Load balancing (computing),Parallel computing,Concurrent computing,Loop scheduling,Computer cluster,Distributed computing | Conference |
ISBN | Citations | PageRank |
1-4244-0910-1 | 15 | 0.67 |
References | Authors | |
18 | 4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Satish Penmatsa | 1 | 125 | 8.22 |
Chronopoulos, A.T. | 2 | 63 | 4.95 |
Karonis, N.T. | 3 | 53 | 20.80 |
Brian Toonen | 4 | 425 | 30.93 |