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Title: Query-Driven Visualization and Analysis

Abstract

This report focuses on an approach to high performance visualization and analysis, termed query-driven visualization and analysis (QDV). QDV aims to reduce the amount of data that needs to be processed by the visualization, analysis, and rendering pipelines. The goal of the data reduction process is to separate out data that is "scientifically interesting'' and to focus visualization, analysis, and rendering on that interesting subset. The premise is that for any given visualization or analysis task, the data subset of interest is much smaller than the larger, complete data set. This strategy---extracting smaller data subsets of interest and focusing of the visualization processing on these subsets---is complementary to the approach of increasing the capacity of the visualization, analysis, and rendering pipelines through parallelism. This report discusses the fundamental concepts in QDV, their relationship to different stages in the visualization and analysis pipelines, and presents QDV's application to problems in diverse areas, ranging from forensic cybersecurity to high energy physics.

Authors:
; ; ;
Publication Date:
Research Org.:
Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
Sponsoring Org.:
USDOE Office of Science (SC)
OSTI Identifier:
1170757
Report Number(s):
LBNL-6323E
Journal ID: ISSN 2154--4492
DOE Contract Number:  
DE-AC02-05CH11231
Resource Type:
Book
Resource Relation:
Journal Volume: 20124456
Country of Publication:
United States
Language:
English
Subject:
97 MATHEMATICS AND COMPUTING; query-driven visualization, scientific visualization

Citation Formats

Ruebel, Oliver, Bethel, E. Wes, Prabhat, Mr., and Wu, Kesheng. Query-Driven Visualization and Analysis. United States: N. p., 2012. Web. doi:10.1201/b12985-10.
Ruebel, Oliver, Bethel, E. Wes, Prabhat, Mr., & Wu, Kesheng. Query-Driven Visualization and Analysis. United States. doi:10.1201/b12985-10.
Ruebel, Oliver, Bethel, E. Wes, Prabhat, Mr., and Wu, Kesheng. Thu . "Query-Driven Visualization and Analysis". United States. doi:10.1201/b12985-10. https://www.osti.gov/servlets/purl/1170757.
@article{osti_1170757,
title = {Query-Driven Visualization and Analysis},
author = {Ruebel, Oliver and Bethel, E. Wes and Prabhat, Mr. and Wu, Kesheng},
abstractNote = {This report focuses on an approach to high performance visualization and analysis, termed query-driven visualization and analysis (QDV). QDV aims to reduce the amount of data that needs to be processed by the visualization, analysis, and rendering pipelines. The goal of the data reduction process is to separate out data that is "scientifically interesting'' and to focus visualization, analysis, and rendering on that interesting subset. The premise is that for any given visualization or analysis task, the data subset of interest is much smaller than the larger, complete data set. This strategy---extracting smaller data subsets of interest and focusing of the visualization processing on these subsets---is complementary to the approach of increasing the capacity of the visualization, analysis, and rendering pipelines through parallelism. This report discusses the fundamental concepts in QDV, their relationship to different stages in the visualization and analysis pipelines, and presents QDV's application to problems in diverse areas, ranging from forensic cybersecurity to high energy physics.},
doi = {10.1201/b12985-10},
journal = {},
issn = {2154--4492},
number = ,
volume = 20124456,
place = {United States},
year = {2012},
month = {11}
}

Book:
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