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12th Euromicro Conference on Parallel, Distributed and Network-Based Processing (PDP'04)
The Master-Slave Paradigm on Heterogeneous Systems: A Dynamic Programming Approach for the Optimal Mapping
A Coruna, Spain
February 11-February 13
ISBN: 0-7695-2083-9
ASCII Text
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Francisco Almeida, Daniel González, Luz Marina Moreno, "The Master-Slave Paradigm on Heterogeneous Systems: A Dynamic Programming Approach for the Optimal Mapping," Parallel, Distributed, and Network-Based Processing, Euromicro Conference on, pp. 266, 12th Euromicro Conference on Parallel, Distributed and Network-Based Processing (PDP'04), 2004.
 
 
BibTex
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@article{ 10.1109/EMPDP.2004.1271454,
author = {Francisco Almeida and Daniel González and Luz Marina Moreno},
title = {The Master-Slave Paradigm on Heterogeneous Systems: A Dynamic Programming Approach for the Optimal Mapping},
journal ={Parallel, Distributed, and Network-Based Processing, Euromicro Conference on},
volume = {0},
year = {2004},
issn = {1066-6192},
pages = {266},
doi = {http://doi.ieeecomputersociety.org/10.1109/EMPDP.2004.1271454},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
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TY - CONF
JO - Parallel, Distributed, and Network-Based Processing, Euromicro Conference on
TI - The Master-Slave Paradigm on Heterogeneous Systems: A Dynamic Programming Approach for the Optimal Mapping
SN - 1066-6192
SP
EP
A1 - Francisco Almeida,
A1 - Daniel González,
A1 - Luz Marina Moreno,
PY - 2004
KW - null
VL - 0
JA - Parallel, Distributed, and Network-Based Processing, Euromicro Conference on
ER -
 
Francisco Almeida, La Laguna University
Daniel González, La Laguna University
Luz Marina Moreno, La Laguna University
We study the master-slave paradigm over heterogeneous systems. According to an analytical model, we develop a dynamic programming algorithm that allows to solve the optimal mapping for such paradigm. Our proposal considers heterogeneity due both to computation and also to communication. The optimization strategy used allows to obtain the set of processors for an optimal computation. The computational results show that considering heterogeneity also on the communication increases the performance of the parallel algorithm.
Citation:
Francisco Almeida, Daniel González, Luz Marina Moreno, "The Master-Slave Paradigm on Heterogeneous Systems: A Dynamic Programming Approach for the Optimal Mapping," pdp, pp.266, 12th Euromicro Conference on Parallel, Distributed and Network-Based Processing (PDP'04), 2004
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