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IPPS
2007
IEEE
14 years 2 months ago
A Multi-Level Parallel Implementation of a Program for Finding Frequent Patterns in a Large Sparse Graph
Graphs capture the essential elements of many problems broadly defined as searching or categorizing. With the rapid increase of data volumes from sensors, many application discipl...
Steve Reinhardt, George Karypis
IJCNN
2007
IEEE
14 years 2 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
IPPS
2005
IEEE
14 years 1 months ago
Self-Adaptive Scheduler Parameterization via Online Simulation
High-end parallel systems present a tremendous research challenge on how to best allocate their resources to match dynamic workload characteristics and user habits that are often ...
Barry Lawson, Evgenia Smirni
CORR
2010
Springer
119views Education» more  CORR 2010»
13 years 5 months ago
On Probabilistic Parallel Programs with Process Creation and Synchronisation
We initiate the study of probabilistic parallel programs with dynamic process creation and synchronisation. To this end, we introduce probabilistic split-join systems (pSJSs), a mo...
Stefan Kiefer, Dominik Wojtczak
IPPS
2003
IEEE
14 years 1 months ago
GCA: A Massively Parallel Model
We had introduced the massively parallel global cellular automata (GCA) model. Parallel algorithms derived from applications can be mapped straight forward onto this model. In thi...
Rolf Hoffmann, Klaus-Peter Völkmann, Wolfgang...