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Fifth IEEE International Symposium on Cluster Computing and the Grid (CCGrid'05) - Volume 2
Implementing phylogenetic inference with GRID superscalar
Cardiff, Wales, UK
May 09-May 12
ISBN: 0-7803-9074-1
ASCII Text
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V. Dialinos, R.M. Badia, R. Sirvent, J.M. Perez, J. Labarta, "Implementing phylogenetic inference with GRID superscalar," Cluster Computing and the Grid, IEEE International Symposium on, vol. 2, pp. 1093-1100, Fifth IEEE International Symposium on Cluster Computing and the Grid (CCGrid'05) - Volume 2, 2005.
 
 
BibTex
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@article{ 10.1109/CCGRID.2005.1558682,
author = {V. Dialinos and R.M. Badia and R. Sirvent and J.M. Perez and J. Labarta},
title = {Implementing phylogenetic inference with GRID superscalar},
journal ={Cluster Computing and the Grid, IEEE International Symposium on},
volume = {2},
year = {2005},
isbn = {0-7803-9074-1},
pages = {1093-1100},
doi = {http://doi.ieeecomputersociety.org/10.1109/CCGRID.2005.1558682},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
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TY - CONF
JO - Cluster Computing and the Grid, IEEE International Symposium on
TI - Implementing phylogenetic inference with GRID superscalar
SN - 0-7803-9074-1
SP1093
EP1100
A1 - V. Dialinos,
A1 - R.M. Badia,
A1 - R. Sirvent,
A1 - J.M. Perez,
A1 - J. Labarta,
PY - 2005
VL - 2
JA - Cluster Computing and the Grid, IEEE International Symposium on
ER -
 
V. Dialinos, Tech. Univ. of Catalonia, Barcelona, Spain
R.M. Badia, Tech. Univ. of Catalonia, Barcelona, Spain
R. Sirvent, Tech. Univ. of Catalonia, Barcelona, Spain
J.M. Perez, Tech. Univ. of Catalonia, Barcelona, Spain
J. Labarta, Tech. Univ. of Catalonia, Barcelona, Spain
The grid has appeared recently as a new computing paradigm. However, to make the use of the grid available to the scientific community, frameworks that enable to easily write applications and to run them efficiently in the grid should be provided. GRID superscalar has been specially designed to satisfy the two requirements mentioned above. This paper presents an implementation of a biological application, fastDNAml, using GRID superscalar. The objective is not only to demonstrate the performance that can be achieved, but the programmability of the framework. The description contains details of the fastDNAml implementation, new features of GRID superscalar and summary of results obtained.
Citation:
V. Dialinos, R.M. Badia, R. Sirvent, J.M. Perez, J. Labarta, "Implementing phylogenetic inference with GRID superscalar," ccgrid, vol. 2, pp.1093-1100, Fifth IEEE International Symposium on Cluster Computing and the Grid (CCGrid'05) - Volume 2, 2005
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