• DocumentCode
    2101726
  • Title

    Parallel Implementation of Mesh Simplification on a Beowulf Cluster

  • Author

    Yongquan, Lu ; Pengdong, Gao ; Chu, Qiu ; Jintao, Wang ; Rui, Lv

  • Author_Institution
    High Performance Comput. Center, Commun. Univ. of China, Beijing, China
  • fYear
    2010
  • fDate
    10-12 Aug. 2010
  • Firstpage
    160
  • Lastpage
    164
  • Abstract
    The parallel implementation of a novel mesh simplification method is introduced detailedly in this paper, which is based on a Beowulf cluster system. Taking full advantage of the distributed memory and high performance network, we can simplify out-of-core models quickly and avoid thrashing the virtual memory system. In addition, the file I/O and load balancing are also considered to make sure a near optimal utilization of the computational resources as well as obtaining high quality output. A set of numerical experiments have demonstrated that our parallel implementation can not only reduce the execution time greatly but also obtain higher parallel efficiency.
  • Keywords
    distributed memory systems; input-output programs; mesh generation; parallel processing; resource allocation; workstation clusters; Beowulf cluster; distributed memory; file I/O; load balancing; mesh simplification; parallel implementation; resources utilization; virtual memory system; Adaptation model; Clustering algorithms; Computational modeling; IEEE Computer Society; Parallel algorithms; Partitioning algorithms; Sorting; Beowulf cluster; distributed memory; mesh simplification; parallel implementation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Distributed Computing and Applications to Business Engineering and Science (DCABES), 2010 Ninth International Symposium on
  • Conference_Location
    Hong Kong
  • Print_ISBN
    978-1-4244-7539-1
  • Type

    conf

  • DOI
    10.1109/DCABES.2010.37
  • Filename
    5573213