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IJCNN
2006
IEEE
16 years 15 days ago
Methods for Parallelizing the Probabilistic Neural Network on a Beowulf Cluster Computer
—In this paper, we present three different methods for implementing the Probabilistic Neural Network on a Beowulf cluster computer. The three methods, Parallel Full Training Set ...
Jimmy Secretan, Michael Georgiopoulos, Ian Maidhof...
IVC
2006
123views more  IVC 2006»
15 years 6 months ago
Multi-sector algorithm for hardware acceleration of the general Hough transform
The Multi-Sector Algorithm (MSA) is a simplification of the CORDIC algorithm to more closely meet the requirements for a real-time general Hough transform applications. The MSA ca...
Emeric K. Jolly, Martin Fleury
KBSE
2003
IEEE
15 years 11 months ago
Fault Localization With Nearest Neighbor Queries
We present a method for performing fault localization using similar program spectra. Our method assumes the existence of a faulty run and a larger number of correct runs. It then ...
Manos Renieris, Steven P. Reiss
ESWS
2010
Springer
15 years 10 months ago
Scalable and Parallel Reasoning in the Semantic Web
Abstract. The current state of the art regarding scalable reasoning consists of programs that run on a single machine. When the amount of data is too large, or the logic is too com...
Jacopo Urbani
IWOMP
2010
Springer
15 years 11 months ago
Enabling Low-Overhead Hybrid MPI/OpenMP Parallelism with MPC
Abstract. With the advent of multicore- and manycore-based supercomputers, parallel programming models like MPI and OpenMP become more widely used to express various levels of para...
Patrick Carribault, Marc Pérache, Herv&eacu...