A grid based neural network execution service

Authors:
Leander Krammer;Erich Schikuta;Helmut Wanek
Affiliations:
Department of Knowledge and Business Engineering, University of Vienna, Rathausstrasse, Vienna, Austria;Department of Knowledge and Business Engineering, University of Vienna, Rathausstrasse, Vienna, Austria;Department of Knowledge and Business Engineering, University of Vienna, Rathausstrasse, Vienna, Austria
Venue:
PDCN'06 Proceedings of the 24th IASTED international conference on Parallel and distributed computing and networks
Year:
2006

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Abstract

Grid Computing needs some application scenarios proved by operative implementations that should lead towards profitable real business applications. NeuroGrid represents the first step of a long way to connect the immense area of neural networks and its high potential applications to the fast emerging infrastructure possibilities of Grid computing. Based on the de-facto standard Grid middleware "Globus Toolkit" and the platform independent Java technology NeuroGrid demonstrates a proof-of-concept implementation for training and evaluating neural networks within a Grid environment.