System design for on-line distributed computational visualization and steering

  • Authors:
  • Qishi Wu;Mengxia Zhu;Nageswara S. V. Rao

  • Affiliations:
  • Computer Science and Mathematics Division, Oak Ridge National Laboratory, Oak Ridge, TN;Computer Science and Mathematics Division, Oak Ridge National Laboratory, Oak Ridge, TN;Computer Science and Mathematics Division, Oak Ridge National Laboratory, Oak Ridge, TN

  • Venue:
  • Edutainment'06 Proceedings of the First international conference on Technologies for E-Learning and Digital Entertainment
  • Year:
  • 2006

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Abstract

We propose a distributed computing framework for network- optimized visualization and steering of real-time scientific simulations and computations executed on a remote host, such as workstation, cluster or supercomputer. Unlike the conventional “batch” simulations, this system enables: (i) monitoring of an on-going remote computation using visualization tools, and (ii) on-line specification of simulation parameters to interactively steer remote computations. Using performance models for transport channels and visualization modules, we develop a dynamic programming method to optimize the realization of the visualization pipeline over a wide-area network to maximize the frame rate. We present experimental results to illustrate the effectiveness of this system.