Abstract— We examine the problem of parallelizing the inferencing process for OWL knowledge-bases. A key challenge in this problem is partitioning the computational workload of t...
Event traces are helpful in understanding the performance behavior of message-passing applications since they allow in-depth analyses of communication and synchronization patterns...
Daniel Becker, John C. Linford, Rolf Rabenseifner,...
Most parallel machines, such as clusters, are spaceshared in order to isolate batch parallel applications from each other and optimize their performance. However, this leads to lo...
We present two parallel algorithms and their Unified Parallel C implementations for Bayesian indoor positioning systems. Our approaches are founded on Markov Chain Monte Carlo si...
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...