• DocumentCode
    1162568
  • Title

    The Beowulf Analysis Symbolic INterface: Interactive Parallel Data Analysis for Everyone

  • Author

    Vesperini, Enrico ; Goldberg, David M. ; McMillan, Stephen L W ; Dura, James ; Jones, Douglas

  • Author_Institution
    Drexel Univ., Philadelphia, PA
  • Volume
    11
  • Issue
    2
  • fYear
    2009
  • Firstpage
    45
  • Lastpage
    51
  • Abstract
    The advent of affordable parallel computers such as Beowulf PC clusters and, more recently, multicore PCs has been highly beneficial for a large number of scientists and smaller institutions that might not otherwise have access to substantial computing facilities. However, there hasn´t been an analogous progress in the development and dissemination of parallel software-scientists need the expertise to develop parallel codes and must invest a significant amount of time in the development of tools even for the most common data-analysis tasks. The authors describe the Beowulf analysis symbolic interface (BASIN), a multiuser parallel data analysis and visualization framework. BASIN is aimed at providing scientists with a suite of parallel libraries for astrophysical data analysis along with general tools for data distribution and parallel operations on distributed data that lets them easily develop new parallel libraries for their specific tasks.
  • Keywords
    astronomy computing; data analysis; data visualisation; multiprogramming; parallel programming; user interfaces; BASIN; Beowulf PC clusters; Beowulf analysis symbolic interface; astrophysical data analysis; computing facility; data distribution; data visualization framework; distributed data; interactive parallel data analysis; multicore PC; multiuser parallel data analysis; parallel codes; parallel computers; parallel library; parallel software; Computer interfaces; Concurrent computing; Data analysis; Data mining; Engines; Libraries; Numerical simulation; Packaging; User interfaces; Visualization; Boewulf clusters; computational astrophysics; interactive parallel data analysis; parallel computing;
  • fLanguage
    English
  • Journal_Title
    Computing in Science & Engineering
  • Publisher
    ieee
  • ISSN
    1521-9615
  • Type

    jour

  • DOI
    10.1109/MCSE.2009.39
  • Filename
    4784395