2001
Keahey, Alan; McCormick, Patrick; Ahrens, James; Keahey, Katarzyna
Qviz: a framework for querying and visualizing data Proceedings Article
In: Photonics West 2001-Electronic Imaging, pp. 259–267, International Society for Optics and Photonics 2001, (LA-UR-00-6116).
Abstract | Links | BibTeX | Tags: analytical queries, data visualization, multivariate visualization, parallel processing
@inproceedings{keahey2001qviz,
title = {Qviz: a framework for querying and visualizing data},
author = {Alan Keahey and Patrick McCormick and James Ahrens and Katarzyna Keahey},
url = {http://datascience.dsscale.org/wp-content/uploads/2016/06/QvizAFrameworkForQueryingAndVisualizaingData.pdf},
year = {2001},
date = {2001-01-01},
booktitle = {Photonics West 2001-Electronic Imaging},
pages = {259--267},
organization = {International Society for Optics and Photonics},
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 results is also easily achived 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.},
note = {LA-UR-00-6116},
keywords = {analytical queries, data visualization, multivariate visualization, parallel processing},
pubstate = {published},
tppubtype = {inproceedings}
}
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 results is also easily achived 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.
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1.
Keahey, Alan; McCormick, Patrick; Ahrens, James; Keahey, Katarzyna
Qviz: a framework for querying and visualizing data Proceedings Article
In: Photonics West 2001-Electronic Imaging, pp. 259–267, International Society for Optics and Photonics 2001, (LA-UR-00-6116).
@inproceedings{keahey2001qviz,
title = {Qviz: a framework for querying and visualizing data},
author = {Alan Keahey and Patrick McCormick and James Ahrens and Katarzyna Keahey},
url = {http://datascience.dsscale.org/wp-content/uploads/2016/06/QvizAFrameworkForQueryingAndVisualizaingData.pdf},
year = {2001},
date = {2001-01-01},
booktitle = {Photonics West 2001-Electronic Imaging},
pages = {259--267},
organization = {International Society for Optics and Photonics},
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 results is also easily achived 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.},
note = {LA-UR-00-6116},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
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 results is also easily achived 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.