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Sixth International Conference on Parallel and Distributed Computing Applications and Technologies (PDCAT'05)
A Hybrid Parallel Loop Scheduling Scheme on Heterogeneous PC Clusters
Dalian, China
December 05-December 08
ISBN: 0-7695-2405-2
ASCII Text
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Wen-Chung Shih, Chao-Tung Yang, Ping-I Chen, Shian-Shyong Tseng, "A Hybrid Parallel Loop Scheduling Scheme on Heterogeneous PC Clusters," Parallel and Distributed Computing Applications and Technologies, International Conference on, pp. 56-58, Sixth International Conference on Parallel and Distributed Computing Applications and Technologies (PDCAT'05), 2005.
 
 
BibTex
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@article{ 10.1109/PDCAT.2005.16,
author = {Wen-Chung Shih and Chao-Tung Yang and Ping-I Chen and Shian-Shyong Tseng},
title = {A Hybrid Parallel Loop Scheduling Scheme on Heterogeneous PC Clusters},
journal ={Parallel and Distributed Computing Applications and Technologies, International Conference on},
volume = {0},
year = {2005},
isbn = {0-7695-2405-2},
pages = {56-58},
doi = {http://doi.ieeecomputersociety.org/10.1109/PDCAT.2005.16},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
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TY - CONF
JO - Parallel and Distributed Computing Applications and Technologies, International Conference on
TI - A Hybrid Parallel Loop Scheduling Scheme on Heterogeneous PC Clusters
SN - 0-7695-2405-2
SP56
EP58
A1 - Wen-Chung Shih,
A1 - Chao-Tung Yang,
A1 - Ping-I Chen,
A1 - Shian-Shyong Tseng,
PY - 2005
KW - null
VL - 0
JA - Parallel and Distributed Computing Applications and Technologies, International Conference on
ER -
 
Wen-Chung Shih, National Chiao Tung University, Taiwan
Chao-Tung Yang, Tunghai University, Taiwan
Ping-I Chen, Tunghai University, Taiwan
Shian-Shyong Tseng, Asia University, Taiwan
Traditional loop-scheduling schemes are designed for homogeneous computing environments, and are probably not suitable for emerging heterogeneous PC clusters. This paper applies a two-phased method, named HPLS (Hybrid Parallel Loop Scheduling), to heterogeneous PC-cluster environments. The key idea is to distribute most of the workload to each node according to its performance, which is modeled and estimated in advance. Experiments on our testbed PCcluster showed that, in most cases, our method could reduce the execution time of application programs more than previous schemes could.
Citation:
Wen-Chung Shih, Chao-Tung Yang, Ping-I Chen, Shian-Shyong Tseng, "A Hybrid Parallel Loop Scheduling Scheme on Heterogeneous PC Clusters," pdcat, pp.56-58, Sixth International Conference on Parallel and Distributed Computing Applications and Technologies (PDCAT'05), 2005
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