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Fourth IEEE International Symposium on Cluster Computing and the Grid (CCGrid'04)
Parallel program performance evaluation and their behavior analysis on an OpenMP cluster
Chicago, IL, USA
April 19-April 22
ISBN: 0-7803-8430-X
ASCII Text
x 
 
Fei Cai, Shaogang Wu, Longbing Zhang, Zhiming Tang, "Parallel program performance evaluation and their behavior analysis on an OpenMP cluster," Cluster Computing and the Grid, IEEE International Symposium on, pp. 508-514, Fourth IEEE International Symposium on Cluster Computing and the Grid (CCGrid'04), 2004.
 
 
BibTex
x
 
@article{ 10.1109/CCGrid.2004.1336641,
author = {Fei Cai and Shaogang Wu and Longbing Zhang and Zhiming Tang},
title = {Parallel program performance evaluation and their behavior analysis on an OpenMP cluster},
journal ={Cluster Computing and the Grid, IEEE International Symposium on},
volume = {0},
year = {2004},
isbn = {0-7803-8430-X},
pages = {508-514},
doi = {http://doi.ieeecomputersociety.org/10.1109/CCGrid.2004.1336641},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Cluster Computing and the Grid, IEEE International Symposium on
TI - Parallel program performance evaluation and their behavior analysis on an OpenMP cluster
SN - 0-7803-8430-X
SP508
EP514
A1 - Fei Cai,
A1 - Shaogang Wu,
A1 - Longbing Zhang,
A1 - Zhiming Tang,
PY - 2004
VL - 0
JA - Cluster Computing and the Grid, IEEE International Symposium on
ER -
 
Fei Cai, Inst. of Comput. Technol., Acad. Sinica, Beijing, China
Shaogang Wu, Inst. of Comput. Technol., Acad. Sinica, Beijing, China
Longbing Zhang, Inst. of Comput. Technol., Acad. Sinica, Beijing, China
Zhiming Tang, Inst. of Comput. Technol., Acad. Sinica, Beijing, China
The OpenMP API is an emerging standard for parallel programming on shared memory multiprocessors. In order to run an OpenMP program on a cluster, one feasible scheme is to translate the OpenMP program into a software DSM program, then execute it on the cluster. Evaluating the performance of OpenMP programs and analyzing their behavior will help support the OpenMP programming model on a software DSM cluster efficiently. In this paper, we use an experimental approach to investigate how the characteristics of the software DSM cluster and the translation together with the original program behavior determine the performance of OpenMP programs on software DSM clusters.
Citation:
Fei Cai, Shaogang Wu, Longbing Zhang, Zhiming Tang, "Parallel program performance evaluation and their behavior analysis on an OpenMP cluster," ccgrid, pp.508-514, Fourth IEEE International Symposium on Cluster Computing and the Grid (CCGrid'04), 2004
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