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» A Paradigm for Parallel Matrix Algorithms:
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PDP
2008
IEEE
15 years 10 months ago
Out-of-Core Wavefront Computations with Reduced Synchronization
Matrix computation algorithms often exhibit dependencies between neighboring elements inside loop nests such that the frontier between computed elements and those to be computed w...
Pierre-Nicolas Clauss, Jens Gustedt, Fréd&e...
134
Voted
IPPS
1999
IEEE
15 years 8 months ago
Large Scale Simulation of Particulate Flows
Simulations of particles in fluid flows are of great interest to numerous industries using sedimentation, fluidization, lubricated transport, and hydraulic fracturing of hydrocarb...
Ahmed H. Sameh, Vivek Sarin
ICDM
2007
IEEE
131views Data Mining» more  ICDM 2007»
15 years 10 months ago
Parallel Mining of Frequent Closed Patterns: Harnessing Modern Computer Architectures
Inspired by emerging multi-core computer architectures, in this paper we present MT CLOSED, a multi-threaded algorithm for frequent closed itemset mining (FCIM). To the best of ou...
Claudio Lucchese, Salvatore Orlando, Raffaele Pere...
KDD
2004
ACM
118views Data Mining» more  KDD 2004»
16 years 4 months ago
Parallel computation of high dimensional robust correlation and covariance matrices
The computation of covariance and correlation matrices are critical to many data mining applications and processes. Unfortunately the classical covariance and correlation matrices...
James Chilson, Raymond T. Ng, Alan Wagner, Ruben H...
JDA
2008
100views more  JDA 2008»
15 years 4 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