L. Krammer, E. Schikuta, and H. Wanek (Austria)
Grid computing, neural network simulator, services
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.
Important Links:
Go Back
