Advertisement

Scientific Visualization in Supercomputing Environments

  • G. Fabiani
  • M. Lanzarini
  • L. Moltedo
Part of the IFIP Series on Computer Graphics book series (IFIP SER.COMP.)

Abstract

This paper describes the CINECA supercomputing environment in which many graphical applications are being realized using local network facilities. The general guidelines of a CNR project on scientific visualization promoted with the cooperation among several Italian research groups are mentioned here. Moreover, the applications considered in this project are provided with graphical workstations remotely connected to a supercomputer via a high speed network.

Keywords

High Speed Network Graphical Application Scientific Visualization Italian National Research Council Graphical Workstation 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Visualization in scientific computing. Computer Graphics 21, no. 6 (1987)Google Scholar
  2. 2.
    G. Fabiani, M. Lanzarini, R. Rossi: Grafica e Supercomputer: il Laboratorio Grafico del CINECA. PIXEL, anno 9, no.9 (1988) 45–52Google Scholar
  3. 3.
    G. Fabiani, A. Tralli, R. Occhi et al.: Non-traditional applications at CINECA: a structural analysis of artistic works and monuments. CUG Proc, Sept. 1987, pp. 138–143Google Scholar
  4. 4.
    G. Fabiani, L. Calori et al.: Visualizzazione e analisi computerizzata del crocefisso ligneo giottesco di S. Felice in Piazza. PIXEL, anno 10, no. 1/2 (1989) 15–20Google Scholar
  5. 5.
    R. Cossu, L. Moltedo: An extension of CGI functions for generation and manipulation of raster images. Computer & Graphics 13, no. 1 (1989) 39–49CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 1991

Authors and Affiliations

  • G. Fabiani
  • M. Lanzarini
  • L. Moltedo

There are no affiliations available

Personalised recommendations