SCI Publications
2006
S. Pervez, G. Gopalakrishnan, R.M. Kirby, R. Thakur, W. Gropp.
“Formal Verification of Programs that use MPI One-Sided Communications,” In Proceedings of EuroPVM-MPI 2006, Bonn, Germany, September 17-20, 2006.
A.R. Sanderson, R.M. Kirby, C.R. Johnson, L. Yang.
“Advanced Reaction-Diffusion Models for Texture Synthesis,” In Journal of Graphics Tools, Vol. 11, No. 3, pp. 47--71. 2006.
A.R. Sanderson, X. Tricoche, C. Garth, S. Kruger, C. Sovinec, E. Held, J. Breslau.
“Detection of Magnetic Nulls in Toroidal Geometry,” In Proceedings of the 48th Annual Meeting of the Division of Plasma Physics, 2006.
A.R. Sanderson, X. Tricoche, C. Garth, S. Kruger, C. Sovinec, E. Held, J. Breslau.
“Visualizing Patterns in the Poincare Plot of a Magnetic Field,” In IEEE Visualization Conference 2006 Compendium, 2006.
J. Schreiner, C.E. Scheidegger, S. Fleishman, C.T. Silva.
“Direct (Re)Meshing for Efficient Surface Processing,” SCI Institute Technical Report, No. UUSCI-2006-013, University of Utah, 2006.
J. Schreiner, C.E. Scheidegger, S. Fleishman, C.T. Silva.
“Direct (Re)Meshing for Efficient Surface Processing,” In Computer Graphics Forum, Vol. 25, No. 3, Wiley-Blackwell, pp. 527--536. Sep, 2006.
DOI: 10.1111/j.1467-8659.2006.00972.x
J. Schreiner, C.E. Scheidegger, C.T. Silva.
“High-Quality Extraction of Isosurfaces from Regular and Irregular Grids,” In IEEE Trans. Vis. Comp. Graph., Vol. 12, No. 5, pp. 1205--1212. 2006.
T. Schultz, B. Burgeth, J. Weickert.
“Flexible Segmentation and Smoothing of DT-MRI Fields Through a Customizable Structure Tensor,” In Advances in Visual Computing, Lecture Notes in Computer Science, Vol. 4291, Edited by G. Bebis and R. Boyle and B. Parvin and D. Koracin and P. Remagnino and A. V. Nefian and M. Gopi and V. Pascucci and J. Zara and J. Molineros and H. Theisel and T. Malzbender, Springer, pp. 455--464. 2006.
Y. Serinagaoglu, D.H. Brooks, R.S. MacLeod.
“Improved Performance of Bayesian Solutions for Inverse Electrocardiography Using Multiple Information Sources,” In IEEE Trans Biomed. Eng., Vol. 53, No. 10, pp. 2024--2034. October, 2006.
J.F. Shepherd.
“Hexahedral Mesh Generation Constraints,” SCI Institute Technical Report, No. UUSCI-2006-010, University of Utah, 2006.
J.F. Shepherd, C.J. Tuttle, C.T. Silva, Y. Zhang.
“Quality Improvement and Feature Capture in Hexahedral Meshes,” SCI Institute Technical Report, No. UUSCI-2006-029, University of Utah, 2006.
S.J. Sherwin, R.M. Kirby, J. Peiro, R.L. Taylor, O.C. Zienkiewicz.
“On 2D Elliptic Discontinuous Galerkin Methods,” In International Journal of Numerical Methods in Engineering, Vol. 65, No. 5, pp. 752--784. 2006.
A.J. Stephens, S. Boulos, J. Bigler, I. Wald, S.G. Parker.
“An Application of Scalable Massive Model Interaction using Shared-Memory Systems,” In Proceedings of The 8th Eurographics Symposium on Parallel Graphics and Visualization, pp. 19--26. 2006.
J.G. Stinstra, S.F. Roberts, J.B. Pormann, R.S. MacLeod, C.S. Henriquez.
“A Model of 3D Propagation in Discrete Cardiac Tissue,” In Proceedings of Computers in Cardiology 2006, Vol. 33, pp. 41. 2006.
J. Strasser, V. Pascucci, K.-L. Ma.
“Multi-layered Image Caching for Distributed Rendering of Large Multiresolution Datasets,” In Eurographics Symposium on Parallel Graphics and Visualization, Edited by Bruno Raffin and Alan Heirich and Luis Paulo Santos, Eurographics Association, Braga, Portugal pp. 171--177. 2006.
ISBN: 3-905673-40-1
ISSN: 1727-348X
M. Styner, M. Jomier, G. Gerig.
“Closed and Open Source Neuroimage Analysis Tools and Libraries at UNC,” In Proceedings of IEEE International Symposium on Biomedical Imaging (ISBI), Special Session: Open Source, pp. 702--705. 2006.
D.M. Tartakovsky, D. Xiu.
“Stochastic Analysis of Transport in Tubes with Rough Walls,” In Journal of Computational Physics, Vol. 217, No. 1, pp. 248--259. 2006.
DOI: 10.1016/j.jcp.2006.02.029
Flow and transport in tubes with rough surfaces play an important role in a variety of applications. Often the topology of such surfaces cannot be accurately described in all of its relevant details due to either insufficient data or measurement errors or both. In such cases, this topological uncertainty can be efficiently handled by treating rough boundaries as random fields, so that an underlying physical phenomenon is described by deterministic or stochastic differential equations in random domains. To deal with this class of problems, we use a computational framework, which is based on stochastic mappings to transform the original deterministic/stochastic problem in a random domain into a stochastic problem in a deterministic domain. The latter problem has been studied more extensively and existing analytical/numerical techniques can be readily applied. In this paper, we employ both a generalized polynomial chaos and Monte Carlo simulations to solve the transformed stochastic problem. We use our approach to describe transport of a passive scalar in Stokes' flow and to quantify the corresponding predictive uncertainty.
Keywords: Random domain, Stochastic inputs, Differential equations, Uncertainty quantification, Stokes flow, Dispersion
X. Tricoche, X. Zheng, A. Pang.
“Visualizing the Topology of Symmetric, Second-Order, Time-varying Two-Dimensional Tensor Fields,” In Visualization and Processing of Tensor Fields, Springer, pp. 225--240. 2006.
X. Tricoche, C. Garth.
“Topological Methods for Visualizing Vortical Flows,” In Mathematical Foundations of Visualization, Computer Graphics, and Massive Data Exploration, Springer, 2006.
A.I. Veress, W.P. Segars, J.A. Weiss, B.M.W. Tsui, G.T. Gullberg.
“Normal and Pathological NCAT Image and Phantom Data Based on Physiologically Realistic Left Ventricle Finite Element Models,” In IEEE Transactions on Medical Imaging, Vol. 25, No. 12, pp. 1604--1616. 2006.