Thomas Fuerle, Erich Schikuta  Home/Search
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Abstract: This paper describes the specification and implementation of PANNS (Parallel Artificial Neural Network Simulator) , a general purpose tool for building, running and analyzing backpropagation neural network. This simulator allows arbitrary distribution of neural networks onto workstation clusters. The running system is based on the data parallel simulation approach. Furthermore we present an example for illustration and give performance data for a runtime analysis of the system. Keywords.... (Update)
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BibTeX entry: (Update)
@misc{ fuerle-panns,
author = "Thomas Fuerle and Erich Schikuta",
title = "PANNS - A Parallelized Artificial Neural Network Simulator",
url = "citeseer.ist.psu.edu/330935.html" }
Citations (may not include all citations):912 MPI: A MessagePassing Interface Standard - Interface - 1994
10 An efficient implementation of BP on RISC-based workstations (context) - Anguita - 1994
10 Simulating artificial neural networks on parallel architectu.. - Serbedzija - 1996
7 compiler and parallel database support for I/O intensiv e ap.. (context) - Brezany, Mueck et al. - 1995
4 Artificial neural networks implementation on vectorial super.. (context) - Sanchez - 1994
3 The neural design and simulation system (context) - Wecker - 1989
2 High performance neural network simulation on a multiprocess.. (context) - Mueller - 1994
2 PANNS: Ein Paralleler Artifizieller Neuronaler Netzwerk Simu.. (context) - Fuerle - 1996
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