DocumentCode :
1798034
Title :
Parallelized neural networks as a service
Author :
Huqqani, Altaf Ahmad ; Schikuta, Erich ; Mann, Erwin
Author_Institution :
Fac. of Comput. Sci., Univ. Of Vienna, Vienna, Austria
fYear :
2014
fDate :
6-11 July 2014
Firstpage :
2282
Lastpage :
2289
Abstract :
We present a novel neural network simulation framework, which provides the parallelized execution of artificial neural network by exploiting modern hardware and software environments adhering to the service oriented paradigm within the N2Sky system. The goal of the N2Sky system is to share and exchange neural network resources, neural network specific knowledge, neural network objects and paradigms and, in turn, to deliver a transparent environment to novice and experienced users to do neural network research. The parallelization techniques are deployed transparently for the user reducing significantly the time consuming training of neural networks by selecting appropriate service implementation according to complexity of the problem. N2Sky follows the sky computing paradigm fostering ample resources by using federated clouds.
Keywords :
cloud computing; learning (artificial intelligence); neural nets; N2Sky system; federated clouds; neural network objects; neural network paradigms; neural network resources; neural network simulation framework; neural network specific knowledge; neural network training; parallelized artificial neural network execution; parallelized neural networks as a service; service oriented paradigm; sky computing paradigm; Cloud computing; Computational modeling; Graphics processing units; Hardware; Neural networks; Training;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Neural Networks (IJCNN), 2014 International Joint Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4799-6627-1
Type :
conf
DOI :
10.1109/IJCNN.2014.6889742
Filename :
6889742
Link To Document :
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