The Ohio State University, Department of Computer Science and Engineering
395 Dreese Lab, 2015 Neil Avenue, Columbus OH 43210
Professor Han-Wei Shen
hwshen@cse.ohio-state.edu (V) 614 292 0060 (F) 614 2922911
Parallel Visualization Algorithms
Abstract
A Parallel Multiresolution Volume Rendering Algorithm
for Large Data Visualization
Parallel Computing, Vol. 31, No. 2
Jinzhu Gao, Chaoli Wang, and Han-Wei Shen, February, 2005
Aynchronous Rendering of Time-Variant Volumes
with Workload-Based Data Shuffling
HPC Sprint Simulation Multiconference
Tony Garcia and Han-Wei Shen, April 2005
Parallel View-Dependent Isosurface Extraction
using Multi-Pass Occlusion Culling
ACM/IEEE Symposium on Parallel and Large Data Visualization
San Diego, California
Jinzhu Gao and Han-Wei Shen, October 2001
An Interleaved Parallel Volume Renderer
with PC clusters
Eurographics Workshop on Parallel Graphics and Visualization
Blaubeuren, Germany
Tony Garcia and Han-Wei Shen, September 2002
Parallel processing plays an increasingly more important role in the area of scientific visualization as the size of data continues to increase. Although many parallel visualization algorithms have been developed in the past, the complexity and scale of the data generated by terascale (and soon petascale) simulations demand even greater advancement in fundamental visualization algorithms and system designs.
One mission of the Gravite Research Group is to develop high performance scalable parallel visualization algorithms targeted at very large data sets. To date, our research has covered
a wide spectrum of topics in this area, including parallel algorithms for volume symmetry extraction ,view-dependent isosurface extraction, multi-resolution time-varying volume rendering, and load balancing algorithms for time-varying volume rendering.
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