System design for on-line distributed computational visualization and steering

Qishi Wu, Mengxia Zhu, Nageswara S.V. Rao

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

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.

Original languageEnglish
Title of host publicationTechnologies for E-Learning and Digital Entertainment - First International Conference, Edutainment 2006, Proceedings
Pages1121-1130
Number of pages10
StatePublished - 17 Jul 2006
Event1st International Conference on Technologies for E-Learning and Digital Entertainment, Edutainment 2006 - Hangzhou, China
Duration: 16 Apr 200619 Apr 2006

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume3942 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other1st International Conference on Technologies for E-Learning and Digital Entertainment, Edutainment 2006
CountryChina
CityHangzhou
Period16/04/0619/04/06

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Wu, Q., Zhu, M., & Rao, N. S. V. (2006). System design for on-line distributed computational visualization and steering. In Technologies for E-Learning and Digital Entertainment - First International Conference, Edutainment 2006, Proceedings (pp. 1121-1130). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3942 LNCS).