Out-of-core streamline visualization on large unstructured meshes
Read Online
Share

Out-of-core streamline visualization on large unstructured meshes [final report]

  • 389 Want to read
  • ·
  • 0 Currently reading

Published by National Aeronautics and Space Administration, Langley Research Center, National Technical Information Service, distributor in Hampton, Va, [Springfield, Va .
Written in English

Subjects:

  • Unstructured grids (Mathematics),
  • Memory (Computers),
  • Workstations,
  • Algorithms,
  • Computation,
  • Data retrieval,
  • Virtual memory systems

Book details:

Edition Notes

Other titlesOut of core streamline visualization on large unstructured meshes.
StatementShyh-Kuang Ueng, K. Sikorski, Kwan-Liu Ma.
SeriesICASE report -- no. 97-22., NASA contractor report -- 201699., NASA contractor report -- NASA CR-201699.
ContributionsSikorski, K., Ma, Kwan-Liu., Langley Research Center.
The Physical Object
FormatMicroform
Pagination1 v.
ID Numbers
Open LibraryOL17564632M
OCLC/WorldCa38953191

Download Out-of-core streamline visualization on large unstructured meshes

PDF EPUB FB2 MOBI RTF

Out-of-core streamline visualization on large unstructured meshes Article (PDF Available) in IEEE Transactions on Visualization and Computer Graphics 3(4) - . Out-Of-Core Streamline Visualization on Large Unstructured Meshes Sh yh-Kuang Ueng y K. Sik orski Departmen t of Computer Science Univ ersit y of Utah Salt Lak e Cit y, Utah Kw an-Liu Ma ICASE Mail Stop NASA Langley Researc h Cen ter Hampton, Virginia Abstract It's adv an tageous for computational scien tists to ha v e the. Stanford Libraries' official online search tool for books, media, journals, databases, government documents and more. Out-of-core streamline visualization on large unstructured meshes in SearchWorks catalog. This paper presents an out-of-core approach for interactive streamline construction on large unstructured tetrahedral meshes containing millions of elements. The out-of-core algorithm uses an octree to partition and restructure the raw data Author: Shyh-Kuang Ueng, K. Sikorski and Kwan-Liu Ma.

Out-of-core streamline visualization on large unstructured meshes IEEE Transactions on Visualization and Computer Graphics, Vol. 3, No. 4 A modular approach to visualization for parallel CFD applications. () Out-of-core streamline visualization on large unstructured meshes. IEEE Transactions on Visualization and Computer Graphics , () An incomplete nested dissection algorithm for parallel direct solution of finite element discretizations of partial differential by: ing efficient out-of-core scientific visualization techniques. Given large, unstructured grids, currently several external memory visualization tools exist (such as isosurface computation,2 streamline computation,3 and surface simplification4) that help scientists visual-ize their large data sets on machines with limited mem-ory. This paper presents an out-of-core approach for interactive streamline construction on large unstructured tetrahedral meshes containing millions of elements. The out-of-core algorithm uses an octree to partition and restructure the raw data .

A number of methods for out-of-core visualization including isosurface extraction, and rendering of large unstructured grids have been proposed [4] [8] [17]. [35] [12] presented application. S. K. Ueng, K. Siborski, and K. L. Ma, "Out-of-Core Streamline Visualization on Large Unstructured Meshes,'~ ICASE Report No. , Institute for Computer Applications in Science and Engineering, NASA Langley Research Center, . Structured vs. Unstructured Grids The choice of whether to use a structured or an unstructured mesh is very problem specific (as well as company/lab specific). The answer is one of engineering judgement. Here are some of the issues: (1) Complex geometry: unstructured grid generation is usually much faster than structured grid Size: 21KB. This paper presents an out-of-core approach for interactive streamline construction on large unstructured tetrahedral meshes containing millions of elements. The out-of-core algorithm uses an octree to partition and restructure the raw data. into .