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Eighth ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing (SNPD 2007)
Study on Distributing Pattern of Shared Data in CC-NUMA System
Haier International Training Center, Qingdao, China
July 30-August 01
ISBN: 0-7695-2909-7
ASCII Text
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Guoteng Pan, Qiang Dou, Lunguo Xie, "Study on Distributing Pattern of Shared Data in CC-NUMA System," Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing, ACIS International Conference on, vol. 3, pp. 9-14, Eighth ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing (SNPD 2007), 2007.
 
 
BibTex
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@article{ 10.1109/SNPD.2007.398,
author = {Guoteng Pan and Qiang Dou and Lunguo Xie},
title = {Study on Distributing Pattern of Shared Data in CC-NUMA System},
journal ={Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing, ACIS International Conference on},
volume = {3},
year = {2007},
isbn = {0-7695-2909-7},
pages = {9-14},
doi = {http://doi.ieeecomputersociety.org/10.1109/SNPD.2007.398},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
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TY - CONF
JO - Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing, ACIS International Conference on
TI - Study on Distributing Pattern of Shared Data in CC-NUMA System
SN - 0-7695-2909-7
SP9
EP14
A1 - Guoteng Pan,
A1 - Qiang Dou,
A1 - Lunguo Xie,
PY - 2007
KW - null
VL - 3
JA - Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing, ACIS International Conference on
ER -
 
Guoteng Pan, National University of Defense Technology, China
Qiang Dou, National University of Defense Technology, China
Lunguo Xie, National University of Defense Technology, China
Nowadays, directory-based cache coherence protocols have been the best choice in designing large-scaled CC-NUMA systems. Directory contains the shared information of all memory blocks in system. The number of copies of shared data in system and their distributing characteristics are deeply influenced by the characteristics of application programs. In this paper, a Markov Chains model is built for the distributing pattern of shared data in CC-NUMA systems. It's proved that, the average number of cache copies of shared data is small in CC-NUMA systems. Especially, when the percentage of shared read operations in applications is lower than 80%, this number is less than 5.
Citation:
Guoteng Pan, Qiang Dou, Lunguo Xie, "Study on Distributing Pattern of Shared Data in CC-NUMA System," snpd, vol. 3, pp.9-14, Eighth ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing (SNPD 2007), 2007
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