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FGCS
2000
143views more  FGCS 2000»
13 years 9 months ago
A data intensive distributed computing architecture for "Grid" applications
Modern scientific computing involves organizing, moving, visualizing, and analyzing massive amounts of data from around the world, as well as employing large-scale computation. The...
Brian Tierney, William E. Johnston, Jason Lee, Mar...
ICDCS
2006
IEEE
14 years 3 months ago
Distributed Computing for Efficient Hyperspectral Imaging Using Fully Heterogeneous Networks of Workstations
Hyperspectral imaging is a new technique which has become increasingly important in many remote sensing applications, including automatic target recognition for military and defen...
Antonio Plaza, Javier Plaza, David Valencia
TSP
2008
120views more  TSP 2008»
13 years 9 months ago
Distributed Average Consensus With Dithered Quantization
In this paper, we develop algorithms for distributed computation of averages of the node data over networks with bandwidth/power constraints or large volumes of data. Distributed ...
Tuncer C. Aysal, Mark Coates, Michael Rabbat
BMCBI
2008
99views more  BMCBI 2008»
13 years 9 months ago
Comparative phyloinformatics of virus genes at micro and macro levels in a distributed computing environment
Background: Preparedness for a possible global pandemic caused by viruses such as the highly pathogenic influenza A subtype H5N1 has become a global priority. In particular, it is...
Dadabhai T. Singh, Rahul Trehan, Bertil Schmidt, T...
MCS
2008
Springer
13 years 9 months ago
Parameter identification and model verification in systems of partial differential equations applied to transdermal drug deliver
The purpose of this paper is to present some numerical tools which facilitate the interpretation of simulation or data fitting results and which allow to compute optimal experimen...
Klaus Schittkowski