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Issue No.03 - May/June (2010 vol.30)
pp: 45-57
Hongfeng Yu , Sandia National Laboratories
Chaoli Wang , Michigan Technological University
Ray W. Grout , Sandia National Laboratories
Jacqueline H. Chen , Sandia National Laboratories
Kwan-Liu Ma , University of California, Davis
ABSTRACT
As scientific supercomputing moves toward petascale and exascale levels, in situ visualization stands out as a scalable way for scientists to view the data their simulations generate. This full picture is crucial particularly for capturing and understanding highly intermittent transient phenomena, such as ignition and extinction events in turbulent combustion. However, integrating visualization into a simulation pipeline has its challenges. A case study of in situ visualization for a large-scale combustion simulation, including design decisions and optimization strategies on domain decomposition, rendering, and image compositing, demonstrates its feasibility. This in-depth evaluation examines an implementation on the Cray XT5 at Oak Ridge National Laboratory's National Center for Computational Sciences.
INDEX TERMS
in situ visualization, large-scale simulation, parallel rendering, supercomputing, scalability, computer graphics, graphics and multimedia
CITATION
Hongfeng Yu, Chaoli Wang, Ray W. Grout, Jacqueline H. Chen, Kwan-Liu Ma, "In Situ Visualization for Large-Scale Combustion Simulations", IEEE Computer Graphics and Applications, vol.30, no. 3, pp. 45-57, May/June 2010, doi:10.1109/MCG.2010.55
REFERENCES
1. K.-L. Ma,, "In-Situ Visualization at Extreme Scale: Challenges and Opportunities," IEEE Computer Graphics and Applications, vol. 29, no. 6, 2009, pp. 14–19.
2. K.-L. Ma et al., "In-Situ Processing and Visualization for Ultrascale Simulations," J. Physics: Conf. Series ( Proc. Scientific Discovery through Advanced Computing Conf. ), vol. 78, 2007, article 012043, doi:10.1088/1742-6596/78/1/012043.
3. C. Ding and Y. He, "A Ghost Cell Expansion Method for Reducing Communications in Solving PDE Problems," Proc. 2001 ACM/IEEE Conf. Supercomputing (SC 01), ACM Press, 2001, p. 50, doi:10.1145/582034.582084.
4. H. Yu, C. Wang, and K.-L. Ma, "Massively Parallel Volume Rendering Using 2-3 Swap Image Compositing," Proc. 2008 ACM/IEEE Conf. Supercomputing (SC 08), IEEE Press, 2008, article 48, doi:10.1145/1413370.1413419.
5. U.D. Bordoloi and H.-W. Shen, "View Selection for Volume Rendering," Proc. IEEE Visualization Conf. (VIS 05), IEEE Press, 2005, pp. 487–494.
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