• 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