DeCUVE: Deep Learning Cloud Unified Virtual Environment

Bo Seon Kang, Chang Sung Jeong

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    1 Citation (Scopus)

    Abstract

    Recently, with advancement in deep learning technology in CCTV, drone and other various fields, large scale image processing environment becomes crucial and essential for fast real-time processing. In this paper, we shall present a distributed processing environment DeCUVE(Deep Learning Cloud Unified Virtual Environment) which provides scalability and provisioning for the deep learning inference. We shall show that deep learning training inference can be executed fast on our environment.

    Original languageEnglish
    Title of host publicationProceedings - 2017 International Conference on Computational Science and Computational Intelligence, CSCI 2017
    EditorsFernando G. Tinetti, Quoc-Nam Tran, Leonidas Deligiannidis, Mary Qu Yang, Mary Qu Yang, Hamid R. Arabnia
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    Pages836-839
    Number of pages4
    ISBN (Electronic)9781538626528
    DOIs
    Publication statusPublished - 2018 Dec 4
    Event2017 International Conference on Computational Science and Computational Intelligence, CSCI 2017 - Las Vegas, United States
    Duration: 2017 Dec 142017 Dec 16

    Publication series

    NameProceedings - 2017 International Conference on Computational Science and Computational Intelligence, CSCI 2017

    Other

    Other2017 International Conference on Computational Science and Computational Intelligence, CSCI 2017
    Country/TerritoryUnited States
    CityLas Vegas
    Period17/12/1417/12/16

    Bibliographical note

    Funding Information:
    ACKNOWLEDGMENT This work was supported by the Brain Korea 21 Plus Project in 2017 and this research was supported by Basic Science Research Program through the National Research Foundation of Korea(NRF) funded by the Ministry of Education(2017R1D1A1B03035461).

    Funding Information:
    This work was supported by the Brain Korea 21 Plus Project in 2017 and this research was supported by Basic Science Research Program through the National Research Foundation of Korea(NRF) funded by the Ministry of Education(2017R1D1A1B03035461).

    Publisher Copyright:
    © 2017 IEEE.

    Keywords

    • Deep learning
    • Distributed Environment
    • Image Processing

    ASJC Scopus subject areas

    • Computer Science (miscellaneous)
    • Artificial Intelligence
    • Computer Networks and Communications
    • Computer Science Applications
    • Safety, Risk, Reliability and Quality

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