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Massively Parallel Volume Rendering
Abstract:
We are developing techniques for massively parallel volume rendering,
examining primarily the techniques of algorithms on general
parallel computers. Research involves the use of the
UCSC 4096 processor MasPar MP-2 and numerous workstations.
Recent NSF funding shall provide a very high performance
visualization platform on which we shall also do research.
Important research topics are: what is the maximum performance
attainable for volumetric visualization on any given parallel
computer? What is the optimal algorithm for volume visualization
for a general model of computation? Which interactivity features
provide capabilities that allow new results to be discovered with
volumetric data?
We have hosted several visitors working in the area of parallel volume
visualization,
and are also collaborating with the other faculty in scientific
visualization.
Undergraduate student's project to provide web interfaces to
Volumetric rendering:
Papers:
-
Craig M. Wittenbrink and
Kwansik Kim,
"Data dependent optimizations for permutation volume rendering",
to appear in the SPIE Visual Data Exploration and Analysis V,
San Jose, CA Jan. 1998.
postscript
,
pdf.
Also available as (not latest version):
Hewlett-Packard Laboratories Technical Report,
HPL-97-59
Data Dependent Optimizations for Permutation Volume Rendering
- Wittenbrink, Craig M.; Kim, Kwansik.
-
Direct Volume Rendering via 3D texture mapping hardware by Allen Van Gelder
and
Kwansik Kim, 1996 Volume Rendering Symposium, ACM/IEEE
-
"PermWeb: remote parallel and distributed volume visualization'',
Craig M. Wittenbrink, Kwansik Kim, Jeremy Story, Alex Pang,
Karin Hollerbach, and Nelson Max, to appear in the Proceedings of
the SPIE Visual
Data Exploration and Analysis IV, SPIE's Electronic Imaging '97,
Feb. 1997, San Jose, CA.
HPL-97-34
- Wittenbrink, Craig M.; Kim, Kwansik; Story, Jeremy;
Pang, Alex; Hollerbach, Karin; Max, Nelson
-
HPL-97-116
Extensions to Permutation Warping for Parallel Volume
Rendering
- Wittenbrink, Craig.
-
Time and space optimal data parallel volume rendering using
Permutation warping , Craig M.
Wittenbrink and
A. K. Somani. In Press Journal of Parallel and
Distributed Computing ,
c/o Sartaj Sahni, Editor Algorithms and Applications.
Available as University of California, Santa Cruz,
Technical Report UCSC-CRL-96-33.
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craig@cse.ucsc.edu
Last modified Sat Feb 28 22:13:37 PST 1998
