Share Email Print

Proceedings Paper

Qviz: a framework for querying and visualizing data
Author(s): T. Alan Keahey; Patrick S. McCormick; James P. Ahrens; Katarzyna Keahey
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

Qviz is a lightweight, modular, and easy to use parallel system for interactive analytical query processing and visual presentation of large datasets. Qviz allows queries of arbitrary complexity to be easily constructed using a specialized scripting language. Visual presentation of the result is also easily achieved via simple scripted and interactive commands to our query-specific visualization tools. This paper describes our initial experiences with the Qviz system for querying and visualizing scientific datasets, showing how Qviz has been used in two different applications: ocean modeling and linear accelerator simulations.

Paper Details

Date Published: 3 May 2001
PDF: 9 pages
Proc. SPIE 4302, Visual Data Exploration and Analysis VIII, (3 May 2001); doi: 10.1117/12.424937
Show Author Affiliations
T. Alan Keahey, Los Alamos National Lab. (United States)
Patrick S. McCormick, Los Alamos National Lab. (United States)
James P. Ahrens, Los Alamos National Lab. (United States)
Katarzyna Keahey, Los Alamos National Lab. (United States)

Published in SPIE Proceedings Vol. 4302:
Visual Data Exploration and Analysis VIII
Robert F. Erbacher; Philip C. Chen; Jonathan C. Roberts; Craig M. Wittenbrink; Matti Grohn, Editor(s)

© SPIE. Terms of Use
Back to Top