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CSDA
2006
84views more  CSDA 2006»
15 years 3 months ago
Three-mode partitioning
The three-mode partitioning model is a clustering model for three-way three-mode data sets that implies a simultaneous partitioning of all three modes involved in the data. In the...
Jan Schepers, Iven Van Mechelen, Eva Ceulemans
142
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IJHPCA
2006
117views more  IJHPCA 2006»
15 years 3 months ago
MPICH-V Project: A Multiprotocol Automatic Fault-Tolerant MPI
Abstract-- High performance computing platforms like Clusters, Grid and Desktop Grids are becoming larger and subject to more frequent failures. MPI is one of the most used message...
Aurelien Bouteiller, Thomas Hérault, G&eacu...
TNN
2008
138views more  TNN 2008»
15 years 3 months ago
A Fast and Scalable Recurrent Neural Network Based on Stochastic Meta Descent
This brief presents an efficient and scalable online learning algorithm for recurrent neural networks (RNNs). The approach is based on the real-time recurrent learning (RTRL) algor...
Zhenzhen Liu, Itamar Elhanany
TVCG
2008
125views more  TVCG 2008»
15 years 3 months ago
GrouseFlocks: Steerable Exploration of Graph Hierarchy Space
Several previous systems allow users to interactively explore a large input graph through cuts of a superimposed hierarchy. This hierarchy is often created using clustering algorit...
Daniel Archambault, Tamara Munzner, David Auber
155
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FGCS
2002
153views more  FGCS 2002»
15 years 3 months ago
HARNESS fault tolerant MPI design, usage and performance issues
Initial versions of MPI were designed to work efficiently on multi-processors which had very little job control and thus static process models. Subsequently forcing them to suppor...
Graham E. Fagg, Jack Dongarra