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Title: Using desktop graphics workstations for interactive remote exploration of large data sets

Abstract

The interactive visualization and exploration of large scientific data sets is a challenging and difficult task; their size often far exceeds the performance and memory capacity of even the most powerful graphics workstations. To address this problem, we have created a technique that combines multiresolution data reduction methods with parallel computing to allow interactive exploration of large data sets while retaining full-resolution capability. We describe the creation of reduced data sets using several different criteria including user-specified error bounds or a preset performance criterion. We discuss the software architecture of the system with particular emphasis on the algorithms used to efficiently create a reduced data set and the software used to communicate between the remote data reduction server and the local graphics client. We present performance results for the visualization of Rayleigh-Taylor instability and hairpin vortex data sets.

Authors:
;
Publication Date:
Research Org.:
Argonne National Lab., IL (US)
Sponsoring Org.:
US Department of Energy (US)
OSTI Identifier:
755872
Report Number(s):
ANL/MCS/CP-101847
TRN: US200223%%638
DOE Contract Number:  
W-31109-ENG-38
Resource Type:
Conference
Resource Relation:
Conference: Visualization Development Environments 2000, Princeton, NJ (US), 04/27/2000--04/28/2000; Other Information: PBD: 9 May 2000; PBD: 9 May 2000
Country of Publication:
United States
Language:
English
Subject:
99 GENERAL AND MISCELLANEOUS//MATHEMATICS, COMPUTING, AND INFORMATION SCIENCE; ALGORITHMS; ARCHITECTURE; CAPACITY; EXPLORATION; PERFORMANCE; RAYLEIGH-TAYLOR INSTABILITY

Citation Formats

Freitag, L A, and Loy, R M. Using desktop graphics workstations for interactive remote exploration of large data sets. United States: N. p., 2000. Web.
Freitag, L A, & Loy, R M. Using desktop graphics workstations for interactive remote exploration of large data sets. United States.
Freitag, L A, and Loy, R M. Tue . "Using desktop graphics workstations for interactive remote exploration of large data sets". United States. https://www.osti.gov/servlets/purl/755872.
@article{osti_755872,
title = {Using desktop graphics workstations for interactive remote exploration of large data sets},
author = {Freitag, L A and Loy, R M},
abstractNote = {The interactive visualization and exploration of large scientific data sets is a challenging and difficult task; their size often far exceeds the performance and memory capacity of even the most powerful graphics workstations. To address this problem, we have created a technique that combines multiresolution data reduction methods with parallel computing to allow interactive exploration of large data sets while retaining full-resolution capability. We describe the creation of reduced data sets using several different criteria including user-specified error bounds or a preset performance criterion. We discuss the software architecture of the system with particular emphasis on the algorithms used to efficiently create a reduced data set and the software used to communicate between the remote data reduction server and the local graphics client. We present performance results for the visualization of Rayleigh-Taylor instability and hairpin vortex data sets.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2000},
month = {5}
}

Conference:
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