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Title: High Performance Visualization using Query-Driven Visualizationand Analytics

Abstract

Query-driven visualization and analytics is a unique approach for high-performance visualization that offers new capabilities for knowledge discovery and hypothesis testing. The new capabilities akin to finding needles in haystacks are the result of combining technologies from the fields of scientific visualization and scientific data management. This approach is crucial for rapid data analysis and visualization in the petascale regime. This article describes how query-driven visualization is applied to a hero-sized network traffic analysis problem.

Authors:
; ; ; ; ;
Publication Date:
Research Org.:
Ernest Orlando Lawrence Berkeley NationalLaboratory, Berkeley, CA (US)
Sponsoring Org.:
USDOE Director. Office of Science. Office of AdvancedScientific Computing Research
OSTI Identifier:
888965
Report Number(s):
LBNL/PUB-959
R&D Project: K11107; BnR: KJ0101030; TRN: US200619%%287
DOE Contract Number:  
DE-AC02-05CH11231
Resource Type:
Technical Report
Country of Publication:
United States
Language:
English
Subject:
99 GENERAL AND MISCELLANEOUS//MATHEMATICS, COMPUTING, AND INFORMATION SCIENCE; DATA ANALYSIS; HYPOTHESIS; MANAGEMENT; PERFORMANCE; TESTING; high performance visualization network traffic analysis datamining

Citation Formats

Bethel, E. Wes, Campbell, Scott, Dart, Eli, Shalf, John, Stockinger, Kurt, and Wu, Kesheng. High Performance Visualization using Query-Driven Visualizationand Analytics. United States: N. p., 2006. Web. doi:10.2172/888965.
Bethel, E. Wes, Campbell, Scott, Dart, Eli, Shalf, John, Stockinger, Kurt, & Wu, Kesheng. High Performance Visualization using Query-Driven Visualizationand Analytics. United States. doi:10.2172/888965.
Bethel, E. Wes, Campbell, Scott, Dart, Eli, Shalf, John, Stockinger, Kurt, and Wu, Kesheng. Thu . "High Performance Visualization using Query-Driven Visualizationand Analytics". United States. doi:10.2172/888965. https://www.osti.gov/servlets/purl/888965.
@article{osti_888965,
title = {High Performance Visualization using Query-Driven Visualizationand Analytics},
author = {Bethel, E. Wes and Campbell, Scott and Dart, Eli and Shalf, John and Stockinger, Kurt and Wu, Kesheng},
abstractNote = {Query-driven visualization and analytics is a unique approach for high-performance visualization that offers new capabilities for knowledge discovery and hypothesis testing. The new capabilities akin to finding needles in haystacks are the result of combining technologies from the fields of scientific visualization and scientific data management. This approach is crucial for rapid data analysis and visualization in the petascale regime. This article describes how query-driven visualization is applied to a hero-sized network traffic analysis problem.},
doi = {10.2172/888965},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Thu Jun 15 00:00:00 EDT 2006},
month = {Thu Jun 15 00:00:00 EDT 2006}
}

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