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IJCNN
2007
IEEE
14 years 3 months ago
Parallel Learning of Large Fuzzy Cognitive Maps
— Fuzzy Cognitive Maps (FCMs) are a class of discrete-time Artificial Neural Networks that are used to model dynamic systems. A recently introduced supervised learning method, wh...
Wojciech Stach, Lukasz A. Kurgan, Witold Pedrycz
SBACPAD
2007
IEEE
128views Hardware» more  SBACPAD 2007»
14 years 3 months ago
Node Level Primitives for Parallel Exact Inference
We present node level primitives for parallel exact inference on an arbitrary Bayesian network. We explore the probability representation on each node of Bayesian networks and eac...
Yinglong Xia, Viktor K. Prasanna
CLUSTER
2008
IEEE
14 years 3 months ago
In search of sweet-spots in parallel performance monitoring
—Parallel performance monitoring extends parallel measurement systems with infrastructure and interfaces for online performance data access, communication, and analysis. At the s...
Aroon Nataraj, Allen D. Malony, Allen Morris, Dori...
PDP
2010
IEEE
14 years 2 months ago
A Parallel Preconditioned Conjugate Gradient Solver for the Poisson Problem on a Multi-GPU Platform
- We present a parallel conjugate gradient solver for the Poisson problem optimized for multi-GPU platforms. Our approach includes a novel heuristic Poisson preconditioner well sui...
Marco Ament, Günter Knittel, Daniel Weiskopf,...
IPPS
1996
IEEE
14 years 1 months ago
Benefits of Processor Clustering in Designing Large Parallel Systems: When and How?
Advances in multiprocessor interconnect technologyare leading to high performance networks. However, software overheadsassociated with message passing are limiting the processors ...
Debashis Basak, Dhabaleswar K. Panda, Mohammad Ban...