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Divide and conquer spot noise
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Source Conference on High Performance Networking and Computing archive
Proceedings of the 1997 ACM/IEEE conference on Supercomputing (CDROM) table of contents
San Jose, CA
Pages: 1 - 13  
Year of Publication: 1997
ISBN:0-89791-985-8
Authors
Wim de Leeuw  1090 GB Amsterdam, Netherlands
Robert van Liere  1090 GB Amsterdam, Netherlands
Sponsors
IEEE-CS\DATC : IEEE Computer Society
SIGARCH: ACM Special Interest Group on Computer Architecture
Publisher
ACM  New York, NY, USA
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Downloads (6 Weeks): 3,   Downloads (12 Months): 15,   Citation Count: 4
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ABSTRACT

The design and implementation of an interactive spot noise algorithm is presented. Spot noise is a technique which utilizes texture for the visualization of flow fields. Various design tradeoffs are discussed that allow an optimal implementation on a range of high end graphical workstations.Two applications are given: the steering of a smog prediction simulation and browsing a very large data set resulting from a direct numerical simulation of turbulence. These applications provide the motivation for the need of interactive visualization techniques.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
1
L. Hesselink and T. Delmarcelle. Visualization of vector and tensor data sets. In L. J. Rosenblum et al., editors, Scientific Visualization: Advances and Challenges, pages 419-433. Academic press, 1994.
 
2
L. Tucker and P. Woodward. Visualization methods. In P. Messina and T. Sterling, editors, System Software and Tools for High Performance Computing Environments, pages 109-113. SIAM, 1993.
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J. Neider, T. Davis, and M. Woo. OpenGL Programming Guide. Addison-Wesley, 1993.
 
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R. W. C. P. Verstappen and A. E. P. Veldman. Direct numerical simulation at lower costs. Journal of Mathematical Engineering, June 1997 (to appear).


Collaborative Colleagues:
Wim de Leeuw: colleagues
Robert van Liere: colleagues