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IJCNN
2006
IEEE
16 years 22 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...
EUROPAR
1999
Springer
15 years 11 months ago
Impact of the Head-of-Line Blocking on Parallel Computer Networks: Hardware to Applications
A fully adaptive router with hybrid bu ers at the input and output channels was designed, which improves the throughput of its input bu er counterpart by up to 40% and has only 10%...
Valentin Puente, José A. Gregorio, Cruz Izu...
JIFS
2002
60views more  JIFS 2002»
15 years 6 months ago
Turing's analysis of computation and artificial neural networks
A novel way to simulate Turing Machines (TMs) by Artificial Neural Networks (ANNs) is proposed. We claim that the proposed simulation is in agreement with the correct interpretatio...
Wilson Rosa de Oliveira, Marcílio Carlos Pe...
JNW
2008
101views more  JNW 2008»
15 years 6 months ago
Computational Time-Division and Code-Division Channel Access Scheduling in Ad Hoc Networks
Using two-hop neighborhood information, we present the hybrid activation multiple access (HAMA) protocol for time-division channel access scheduling in ad hoc networks with omni-di...
Lichun Bao, J. J. Garcia-Luna-Aceves
162
Voted
HPDC
2002
IEEE
15 years 11 months ago
Multigrain Parallelism for Eigenvalue Computations on Networks of Clusters
Clusters of workstations have become a cost-effective means of performing scientific computations. However, large network latencies, resource sharing, and heterogeneity found in ...
James R. McCombs, Andreas Stathopoulos