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JDA
2008
100views more  JDA 2008»
13 years 7 months ago
Efficient sampling of random permutations
We show how to uniformly distribute data at random (not to be confounded with permutation routing) in two settings that are able to deal with massive data: coarse grained parallel...
Jens Gustedt
SBACPAD
2003
IEEE
138views Hardware» more  SBACPAD 2003»
14 years 20 days ago
Finite Difference Simulations of the Navier-Stokes Equations Using Parallel Distributed Computing
 This paper discusses the implementation of a numerical algorithm for simulating incompressible fluid flows based on the finite difference method and designed for parallel compu...
João Paulo De Angeli, Andréa M. P. V...
BMCBI
2008
142views more  BMCBI 2008»
13 years 7 months ago
Genetic weighted k-means algorithm for clustering large-scale gene expression data
Background: The traditional (unweighted) k-means is one of the most popular clustering methods for analyzing gene expression data. However, it suffers three major shortcomings. It...
Fang-Xiang Wu
EUROPAR
2008
Springer
13 years 9 months ago
MPC: A Unified Parallel Runtime for Clusters of NUMA Machines
Over the last decade, Message Passing Interface (MPI) has become a very successful parallel programming environment for distributed memory architectures such as clusters. However, ...
Marc Pérache, Hervé Jourdren, Raymon...
ICDCSW
2007
IEEE
14 years 1 months ago
Using stream queries to measure communication performance of a parallel computing environment
We have developed a data stream management system that supports declarative stream queries running over high data volumes in a supercomputing environment. To enable specification ...
Erik Zeitler, Tore Risch