Paper
Libraries to support distribution and processing of visualization data sets

https://doi.org/10.1016/S0167-739X(97)83342-0Get rights and content

Abstract

The aims of “Visualization in Parallel” (Vipar) project is to produce a comprehensive environment for the development of parallel visualization modules in systems such as the Application Visualization System (AVS), Iris Explorer, IBM Data Explorer (DX) and Khoros. This paper presents an overview of the project and describes the libraries developed to support the first phase of the work which is a tool to describe parallel visualization modules. This work is funded as part of the EPSRC project (GR/K40390) Portable Software Tools for Parallel Architectures (PSTPA).

References (24)

  • K. Woys et al.

    M. AVS Optimisation for Cray Y-MP vector processing

  • A. Begulin et al.

    Users guide to PVM: Parallel virtual machine

    ORNL Report, TM-11826

    (July 1991)
  • S. Chapple

    Parallel utilities libraries-RD users guide

  • P.C. Chen

    Climate simulation case study III: Supercomputing and data visualization

  • G. Cheng et al.

    Developing interactive PVM-based parallel programs on distributed computing systems within AVS Framework

  • A. Ford et al.

    Adaptive volume rendering on the meiko computing surface

  • A.J. Grant

    Parallel visualization

  • W. Gropp et al.
  • HPF: language definition document, Scientific Programming, (1–2)...
  • IRIS Explorer Technical Report, Silicon Graphics Computer...
  • M. Krogh et al.

    Visualization on massively parallel computers using CM/AVS

  • S. Larkin et al.

    A data decomposition tool for writing parallel modules in visualization systems

  • Cited by (4)

    • VRMiner: A tool for multimedia database mining with virtual reality

      2006, Processing and Managing Complex Data for Decision Support
    • Interactive mining of multimedia databases with virtual reality

      2002, Proceedings of SPIE - The International Society for Optical Engineering
    View full text