High Performance Visualization using Query-Driven Visualizationand Analytics

Bethel, E. Wes ; Campbell, Scott ; Dart, Eli ; Shalf, John ; Stockinger, Kurt ; Wu, Kesheng

Lawrence Berkeley National Laboratory

关键词: Data Analysis;    Management;    High Performance Visualization Network Traffic Analysis Datamining;    Testing High Performance Visualization Network Traffic Analysis Datamining;    99 General And Miscellaneous//Mathematics, Computing, And Information Science;   

DOI  :  10.2172/888965
RP-ID  :  LBNL/PUB--959
RP-ID  :  DE-AC02-05CH11231
RP-ID  :  888965

美国|英语

来源: UNT Digital Library

【 摘 要 】

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.