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