A high-level framework for distributed processing of large-scale graphs

E. Krepska, T. Kielmann, W.J. Fokkink, H.E. Bal

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

    10 Citations (Scopus)

    Abstract

    Distributed processing of real-world graphs is challenging due to their size and the inherent irregular structure of graph computations. We present hipg, a distributed framework that facilitates high-level programming of parallel graph algorithms by expressing them as a hierarchy of distributed computations executed independently and managed by the user. hipg programs are in general short and elegant; they achieve good portability, memory utilization and performance.
    Original languageEnglish
    Title of host publicationDistributed Computing and Networking : 12th International Conference, ICDCN 2011, Bangalore, India, January 2-5, 2011. Proceedings
    EditorsM.K. Aguilera, H. Yu, N.H. Vaidya, V. Srinivasan, R.R. Choudhury
    Place of PublicationBerlin
    PublisherSpringer
    Pages155-166
    ISBN (Print)978-3-642-17678-4
    DOIs
    Publication statusPublished - 2011
    Eventconference; 12th Conference on Distributed Computing and Networking (ICDCN'11) -
    Duration: 1 Jan 2011 → …

    Publication series

    NameLecture Notes in Computer Science
    Volume6522
    ISSN (Print)0302-9743

    Conference

    Conferenceconference; 12th Conference on Distributed Computing and Networking (ICDCN'11)
    Period1/01/11 → …
    Other12th Conference on Distributed Computing and Networking (ICDCN'11)

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