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Performance Comparison between VOPP and MPI
Dalian, China December 05-December 08
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/PDCAT.2005.186Sixth International Conference on Par ...
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Z. Huang, M. Purvis, P. Werstein, "Performance Comparison between VOPP and MPI," Parallel and Distributed Computing Applications and Technologies, International Conference on, pp. 343-347, Sixth International Conference on Parallel and Distributed Computing Applications and Technologies (PDCAT'05), 2005.
 
 
BibTex
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@article{ 10.1109/PDCAT.2005.186,
author = {Z. Huang and M. Purvis and P. Werstein},
title = {Performance Comparison between VOPP and MPI},
journal ={Parallel and Distributed Computing Applications and Technologies, International Conference on},
volume = {0},
year = {2005},
isbn = {0-7695-2405-2},
pages = {343-347},
doi = {http://doi.ieeecomputersociety.org/10.1109/PDCAT.2005.186},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Parallel and Distributed Computing Applications and Technologies, International Conference on
TI - Performance Comparison between VOPP and MPI
SN - 0-7695-2405-2
SP343
EP347
A1 - Z. Huang,
A1 - M. Purvis,
A1 - P. Werstein,
PY - 2005
KW - null
VL - 0
JA - Parallel and Distributed Computing Applications and Technologies, International Conference on
ER -
 
Z. Huang, Department of Computer Science, University of Otago, Dunedin, New Zealand
M. Purvis, Department of Information Science, University of Otago, Dunedin, New Zealand
P. Werstein, Department of Computer Science, University of Otago, Dunedin, New Zealand
View-Oriented Parallel Programming is based on Distributed Shared Memory which is friendly and easy for programmers to use. It requires the programmer to divide shared data into views according to the memory access pattern of the parallel algorithm. One of the advantages of this programming style is that it offers the performance potential for the underlying Distributed Shared Memory system to optimize consistency maintenance. Also it allows the programmer to participate in performance optimization of a program through wise partitioning of the shared data into views. In this paper, we compare the performance of View- Oriented Parallel Programming against Message Passing Interface. Our experimental results demonstrate a performance gap between View-Oriented Parallel Programming and Message Passing Interface. The contributing overheads behind the performance gap are discussed and analyzed, which sheds much light on further performance improvement of View-Oriented Parallel Programming. Key Words: Distributed Shared Memory, View-based Consistency, View-Oriented Parallel Programming, Cluster Computing, Message Passing Interface
Citation:
Z. Huang, M. Purvis, P. Werstein, "Performance Comparison between VOPP and MPI," pdcat, pp.343-347, Sixth International Conference on Parallel and Distributed Computing Applications and Technologies (PDCAT'05), 2005
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