Enhancements to the eXtensible Data Model and Format (XDMF)

Abstract

The eXtensible Data Model and Format (XDMF) is an active common data hub used to pass metadata and value between application modules in a standard fashion. XDMF views data as consisting of two basic types: Light data and Heavy data. Light data is both meta data and small amounts of values. Heavy data typically consists of large arrays of values. Support for XDMF is included in the widely used visualization package ParaView, computational codes like ALE3D from Lawrence Livermore National Laboratorv (LLNL) and the SIERRA computational framework from Sandia National Laboratory (SNL). A major effort is now under way to enhance xDMF to more directly support concepts like Adaptive Mesh Refinement (AMR), mixed topologies, higher order elements and parallel datasets. Discussed here are the motivations for the enhancements and the benefits of the new version.

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 2007
Accession Number
ADP023792

Entities

People

  • Eric R. Mark
  • Jerry A. Clarke

Organizations

  • United States Army Research Laboratory

Tags

Communities of Interest

  • Air Platforms

DTIC Thesaurus Topics

  • Computers
  • Data Management
  • Department Of Defense
  • Geometry
  • Grids
  • High Performance Computing
  • Language
  • Markup Languages
  • Military Research
  • Polygons
  • Technical Information Centers
  • Three Dimensional
  • Topology
  • Visualizations
  • World Wide Web
  • Xml

Readers

  • Computational Fluid Dynamics (CFD)
  • Database Systems and Applications
  • Electrical Engineering