• DocumentCode
    2440826
  • Title

    Using the GPGPU for scaling up Mining Software Repositories

  • Author

    Nagano, Rina ; Nakamura, Hiroki ; Kamei, Yasutaka ; Adams, Bram ; Hisazumi, Kenji ; Ubayashi, Naoyasu ; Fukuda, Akira

  • Author_Institution
    Kyushu Univ., Fukuoka, Japan
  • fYear
    2012
  • fDate
    2-9 June 2012
  • Firstpage
    1435
  • Lastpage
    1436
  • Abstract
    The Mining Software Repositories (MSR) field integrates and analyzes data stored in repositories such as source control and bug repositories to support practitioners. Given the abundance of repository data, scaling up MSR analyses has become a major challenge. Recently, researchers have experimented with conventional techniques like a supercomputer or cloud computing, but these are either too expensive or too hard to configure. This paper proposes to scale up MSR analysis using “general-purpose computing on graphics processing units” (GPGPU) on off-the-shelf video cards. In a representative MSR case study to measure co-change on version history of the Eclipse project, we find that the GPU approach is up to a factor of 43.9 faster than a CPU-only approach.
  • Keywords
    data mining; graphics processing units; software packages; Eclipse project; GPGPU; MSR; bug repositories; cloud computing; general-purpose computing on graphics processing units; mining software repositories; off-the-shelf video cards; source control; supercomputer; Arrays; Computer bugs; Data mining; Graphics processing unit; History; Supercomputers;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Software Engineering (ICSE), 2012 34th International Conference on
  • Conference_Location
    Zurich
  • ISSN
    0270-5257
  • Print_ISBN
    978-1-4673-1066-6
  • Electronic_ISBN
    0270-5257
  • Type

    conf

  • DOI
    10.1109/ICSE.2012.6227077
  • Filename
    6227077