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IJCNN
2006
IEEE
14 years 1 months ago
Methods for Parallelizing the Probabilistic Neural Network on a Beowulf Cluster Computer
—In this paper, we present three different methods for implementing the Probabilistic Neural Network on a Beowulf cluster computer. The three methods, Parallel Full Training Set ...
Jimmy Secretan, Michael Georgiopoulos, Ian Maidhof...
ICS
1993
Tsinghua U.
13 years 11 months ago
Graph Contraction for Physical Optimization Methods: A Quality-Cost Tradeoff for Mapping Data on Parallel Computers
Mapping data to parallel computers aims at minimizing the execution time of the associated application. However, it can take an unacceptable amount of time in comparison with the ...
Nashat Mansour, Ravi Ponnusamy, Alok N. Choudhary,...
CORR
2004
Springer
101views Education» more  CORR 2004»
13 years 7 months ago
Parallel Computing Environments and Methods for Power Distribution System Simulation
Abstract -- The development of cost-effective highperformance parallel computing on multi-processor supercomputers makes it attractive to port excessively time consuming simulation...
Ning Lu, Z. Todd Taylor, David P. Chassin, Ross T....
ISCC
2007
IEEE
211views Communications» more  ISCC 2007»
14 years 1 months ago
High Performance Java Remote Method Invocation for Parallel Computing on Clusters
This paper presents a more efficient Java Remote Method Invocation (RMI) implementation for high-speed clusters. The use of Java for parallel programming on clusters is limited b...
Guillermo L. Taboada, Carlos Teijeiro, Juan Touri&...
ICCS
2005
Springer
14 years 1 months ago
Data-Parallel Method for Georeferencing of MODIS Level 1B Data Using Grid Computing
Georeference is a basic function of remote sensing data processing. Geo-corrected remote sensing data is an important source data for Geographic Information Systems (GIS) and other...
Yincui Hu, Yong Xue, Jiakui Tang, Shaobo Zhong, Gu...