Production-quality Tools for Adaptive Mesh RefinementVisualization | Zendy

Gunther H. Weber | Zendy; Hank Childs | Zendy; K.S. Bonnell | Zendy; Jeremy Meredith | Zendy; Mark C. Miller | Zendy; Brad Whitlock | Zendy; E. Wes Bethel | Zendy

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Production-quality Tools for Adaptive Mesh RefinementVisualization

Author(s) -

Gunther H. Weber,

Hank Childs,

K.S. Bonnell,

Jeremy Meredith,

Mark C. Miller,

Brad Whitlock,

E. Wes Bethel

Publication year - 2007

Publication title -

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

Language(s) - English

Resource type - Reports

DOI - 10.2172/932586

Subject(s) - visualization , computer science , visual analytics , adaptive mesh refinement , data science , analytics , class (philosophy) , data visualization , quality (philosophy) , data mining , computational science , artificial intelligence , philosophy , epistemology

Adaptive Mesh Refinement (AMR) is a highly effectivesimulation method for spanning a large range of spatiotemporal scales,such as astrophysical simulations that must accommodate ranges frominterstellar to sub-planetary. Most mainstream visualization tools stilllack support for AMR as a first class data type and AMR code teams usecustom built applications for AMR visualization. The Department ofEnergy's (DOE's) Science Discovery through Advanced Computing (SciDAC)Visualization and Analytics Center for Enabling Technologies (VACET) isextending and deploying VisIt, an open source visualization tool thataccommodates AMR as a first-class data type, for use asproduction-quality, parallel-capable AMR visual data analysisinfrastructure. This effort will help science teams that use AMR-basedsimulations and who develop their own AMR visual data analysis softwareto realize cost and labor savings

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