High Performance Visualization using Query-Driven Visualizationand Analytics | Zendy

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

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

High Performance Visualization using Query-Driven Visualizationand Analytics

Author(s) -

E. Wes Bethel,

Scott Campbell,

Eli Dart,

John Shalf,

Kurt Stockinger,

Kesheng Wu

Publication year - 2006

Publication title -

osti oai (u.s. department of energy office of scientific and technical information)

Language(s) - English

Resource type - Reports

DOI - 10.2172/888965

Subject(s) - petascale computing , visualization , computer science , visual analytics , data science , analytics , data visualization , information visualization , data mining , information retrieval , database , scalability

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

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research