High-resolution remote rendering of large datasets in a collaborative environment

  • Authors:
  • Nicholas T. Karonis;Michael E. Papka;Justin Binns;John Bresnahan;Joseph A. Insley;David Jones;Joseph M. Link

  • Affiliations:
  • Department of Computer Science, Northern Illinois University, DeKalb, IL and Mathematics and Computer Science Division, Argonne National Laboratory, Argonne, IL;Mathematics and Computer Science Division, Argonne National Laboratory, Argonne, IL and Department of Computer Science, University of Chicago, Chicago, IL;Mathematics and Computer Science Division, Argonne National Laboratory, Argonne, IL;Mathematics and Computer Science Division, Argonne National Laboratory, Argonne, IL;Mathematics and Computer Science Division, Argonne National Laboratory, Argonne, IL;Mathematics and Computer Science Division, Argonne National Laboratory, Argonne, IL;Mathematics and Computer Science Division, Argonne National Laboratory, Argonne, IL

  • Venue:
  • Future Generation Computer Systems - iGrid 2002
  • Year:
  • 2003

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Abstract

In a time when computational and data resources are distributed around the globe, users need to interact with these resources and each other easily and efficient. The Grid, by definition, represents a connection of distributed resources that can be used regardless of the user's location. We have built a prototype visualization system using the Globus Toolkit, MPICH-G2, and the Access Grid in order to explore how future scientific collaborations may occur over the Grid. We describe our experience in demonstrating our system at iGrid2002, where the United States and the Netherlands were connected via a high-latency, high-bandwidth network. In particular, we focus on issues related to a Grid-based application that couples a collaboration component (including a user interface to the Access Grid) with a high-resolution remote rendering component.