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On the Prediction of Master-Slave algorithms over Heterogeneous Clusters
Genova, Italy February 05-February 07
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/EMPDP.2003.1183621Eleventh Euromicro Conference on Para ...
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Francisco Almeida, Daniel González, Luz Marina Moreno, Casiano Rodríguez, Jonay Toledo, "On the Prediction of Master-Slave algorithms over Heterogeneous Clusters," Parallel, Distributed, and Network-Based Processing, Euromicro Conference on, pp. 433, Eleventh Euromicro Conference on Parallel, Distributed and Network-Based Processing, 2003.
 
 
BibTex
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@article{ 10.1109/EMPDP.2003.1183621,
author = {Francisco Almeida and Daniel González and Luz Marina Moreno and Casiano Rodríguez and Jonay Toledo},
title = {On the Prediction of Master-Slave algorithms over Heterogeneous Clusters},
journal ={Parallel, Distributed, and Network-Based Processing, Euromicro Conference on},
volume = {0},
year = {2003},
issn = {1066-6192},
pages = {433},
doi = {http://doi.ieeecomputersociety.org/10.1109/EMPDP.2003.1183621},
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 - On the Prediction of Master-Slave algorithms over Heterogeneous Clusters
SN - 1066-6192
SP
EP
A1 - Francisco Almeida,
A1 - Daniel González,
A1 - Luz Marina Moreno,
A1 - Casiano Rodríguez,
A1 - Jonay Toledo,
PY - 2003
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
Casiano Rodríguez, La Laguna University
Jonay Toledo, La Laguna University
We study the performance of master-slave algortihms on heterogeneous networks. The word heterogeneity refers here to both the processing and communication capabilities. Following an inductive approach, we derive a formula that predicts the performance for the general case. The computational results carried out on a heterogeneous cluster of PCs prove the effectiveness of the approach and the accuracy of the predictions. The numerical minimzation of this function provides an efficient approach for an optimal distribution of the work.
Citation:
Francisco Almeida, Daniel González, Luz Marina Moreno, Casiano Rodríguez, Jonay Toledo, "On the Prediction of Master-Slave algorithms over Heterogeneous Clusters," pdp, pp.433, Eleventh Euromicro Conference on Parallel, Distributed and Network-Based Processing, 2003
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