• DocumentCode
    69604
  • Title

    High-Performance Computing of Self-Gravity for Small Solar System Bodies

  • Author

    Frascarelli, Daniel ; Nesmachnow, Sergio ; Tancredi, Gonzalo

  • Author_Institution
    Inst. de Comput., Univ. de la Republica, Montevideo, Uruguay
  • Volume
    47
  • Issue
    9
  • fYear
    2014
  • fDate
    Sept. 2014
  • Firstpage
    34
  • Lastpage
    39
  • Abstract
    To study the evolution of small solar system bodies like asteroids and comets, a fast method is needed to compute the self-gravity of systems composed of millions of particles. A proposed fully parallel shared-memory algorithm for dense, self-gravitating agglomerates scales efficiently with the number of particles as well as the number of computational resources.
  • Keywords
    asteroids; astronomy computing; comets; gravity; parallel processing; asteroids; comets; computational resources; high-performance computing; parallel shared-memory algorithm; self-gravity; solar system bodies; Algorithm design and analysis; Astronomy; Computational efficiency; Computational modeling; Informatics; Instruction sets; Message systems; Parallel algorithms; Planets; Synchronization; astronomy; high-performance computing; numerical simulation; scientific computing; self-gravity; small solar system bodies;
  • fLanguage
    English
  • Journal_Title
    Computer
  • Publisher
    ieee
  • ISSN
    0018-9162
  • Type

    jour

  • DOI
    10.1109/MC.2014.249
  • Filename
    6898782
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=69604