PANNS - A Parallelized Arti cial Neural Network Simulator
نویسنده
چکیده
Thomas Fuerle and Erich Schikuta Institute of Applied Computer Science and Information Systems, University of Vienna, Rathausstr. 19/4, A-1010, Vienna, Austria Email: [email protected], [email protected] Abstract This paper describes the speci cation and implementation of PANNS (Parallel Arti cial 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.
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تاریخ انتشار 2007