Designed especially for neurobiologists, FluoRender is an interactive tool for multi-channel fluorescence microscopy data visualization and analysis.
Deep brain stimulation
BrainStimulator is a set of networks that are used in SCIRun to perform simulations of brain stimulation such as transcranial direct current stimulation (tDCS) and magnetic transcranial stimulation (TMS).
Developing software tools for science has always been a central vision of the SCI Institute.

SCI Publications

2003


P.T. Fletcher, C. Lu, S. Joshi. “Statistics of Shape via Principal Component Analysis on Lie Groups,” In Proceedings of the Conference on Computer Vision and Pattern Recognition (CVPR), Los Alamitos, CA, pp. 95--101. June, 2003.



S. Fleishman, M. Alexa, D. Cohen-Or, C.T. Silva. “Progressive Point Set Surfaces,” In ACM Transactions on Graphics (TOG), Vol. 22, No. 4, pp. 997--1011. 2003.
ISSN: 0730-0301



J. Freire, J. Simeon. “Adaptive XML Shredding: Architecture, Implementation, and Challenges,” In Efficiency and Effectiveness of XML Tools and Techniques and Data Integration over the Web, Lecture Notes in Computer Science (LNCS), Vol. 2590/2008, pp. 104--116. 2003.



L.E. Fried, R. Manaa, J.P. Lewis. “Modeling the Reactions of Energetic Materials in the Condensed Phase,” In Overviews of Recent Research on Energetic Materials, Edited by D. Thompson and T. Brill and R. Shaw, 2003.



J.C. Gardiner, J.A. Weiss. “Subject-Specific Finite Element Analysis of the Human Medial Collateral Ligament During Valgus Knee Loading,” In Journal of Orthopaedic Research, Vol. 21, pp. 1098--1106. 2003.



J.D. de St. Germain, S.G. Parker. “Software Integration in an Academic Environment,” In Software Quality Forum (SQF), Arlington, Virginia, pp. (published on CD). March, 2003.



J.D. de St. Germain, A. Morris, S.G. Parker, A.D. Malony, S. Shende. “Performance Analysis Integration in the Uintah Software Development Cycle,” In International Journal of Parallel Programming, Vol. 31, No. 1, pp. 35--53. 2003.

ABSTRACT

The increasing complexity of high-performance computing environments and programming methodologies presents challenges for empirical performance evaluation. Evolving parallel and distributed systems require performance technology that can be flexibly configured to observe different events and associated performance data of interest. It must also be possible to integrate performance evaluation techniques with the programming paradigms and software engineering methods. This is particularly important for tracking performance on parallel software projects involving many code teams over many stages of development. This paper describes the integration of the TAU and XPARE tools in the Uintah Computational Framework (UCF). Discussed is the use of performance mapping techniques to associate low-level performance data to higher levels of abstraction in UCF and the use of performance regression testing to provide a historical portfolio of the evolution of application performance. A scalability study shows the benefits of integrating performance technology in building large-scale parallel applications.

Keywords: uintah



C.E. Goodyer, M. Berzins, P.K. Jimack, L.E. Scales. “Grid-Based Numerical Optimisation in a Problem Solving Environment,” In Proceedings of Second UK E-Science All-Hands Meeting, Nottingham, UK, Edited by S.J. Cox, pp. 854--861. 2003.
ISBN: 1-904425-11-9



C.P. Gribble, S.G. Parker. “A Survey of the Itanium Architecture from a Programmer's Perspective,” SCI Institute Technical Report, No. UUSCI-2003-003, University of Utah, August, 2003.



J.E. Guilkey, J.A. Weiss. “Implicit Time Integration with the Material Point Method,” In International Journal for Numerical Methods in Engineering, Vol. 57, pp. 1323--1338. 2003.



J.E. Guilkey, T. Harman, A. Xia, B. Kashiwa, P.A. McMurtry. “An Eulerian-Lagrangian Approach for Large Deformation Fluid Structure Interaction Problems, Part 1: Algorithm Development,” In Fluid Structure Interaction II, In Fluid Structure Interaction II: Proceedings of Fluid Structure Interaction , WIT Press, pp. 14. 143--156, 2003.
DOI: 10.2495/FSI030141



C.D. Hansen, C.R. Johnson. “Graphics Applications for Grid Computing,” In IEEE Comp. Graph. & Applic., pp. 20--21. March/April, 2003.



T. Harman, J.E. Guilkey, B. Kashiwa, J. Schmidt, P. McMurtry. “An Eulerian-Lagrangian Approach for Large Deformation Fluid Structure Interaction Problems, Part 2: Multi-Physics Simulations within a Modern Computational Framework,” In Fluid Structure Interaction II, WIT Press, pp. 157--166. 2003.

ABSTRACT

A tightly coupled fluid-structure interaction (FSI) solution technique incorporating fluid and solid mechanics, phase change and chemical reactions is presented. The continuum equations are solved with a cell-centered, multi-material ICE solution method. This formulation is integrated with a Lagrangian, particle based, solid mechanics technique, known as the Material Point Method, as described by Kashiwa et al. [1] and Guilkey et al. [2]. The combined method can handle large deformations and phase change within a single grid, without the need of separate domains for fluids and solids, or the passing of boundary conditions. This paper discusses algorithmic issues involved in accounting for chemical reactions and phase transition among material phases (e.g., solid → gas). Validation is presented as are simulations showing large deformation with phase change. These simulations were performed within a computational framework that contains tools for parallelization, performance analysis, data management, algorithm integration, and data visualization. Features of this framework are described.



W. Herrera-Jimenez, W. Correa, C.T. Silva, A. Baptista. “Visualizing Spatial and Temporal Variability in Coastal Observatories,” In Proceedings of the 14th IEEE Visualization 2003 (VIS'03), pp. 75. 2003.
ISBN: 0-7695-2030-8



R.E. Hogan, R.D. Bucholz, S. Joshi. “Hippocampal Deformation-Based Shape Analysis in Epilepsy and Unilateral Mesial Temporal Sclerosis,” In Epilepsia, Vol. 44, No. 6, pp. 800--806. June, 2003.



M.E. Hubbard, M. Berzins. “A Positivity Preserving Finite Element Method for Hyperbolic Partial Differential Equations,” In Computational Fluid Dynamics 2002, Edited by S. Armfield and P. Morgan and K. Srinivas, Springer-Verlag, pp. 205--210. 2003.



D. Hwang, O. Portniaguine, S. Nagarajan, C.R. Johnson, K. Sekihara. “Minimum Support MEG (Magnetoencephalography) Imaging: Study on Effects of Noise, Discretization, Depth, and Separation of Multiple Sources,” In World Congress on Medical Physics and Biomedical Engineering, August, 2003.



D. Hwang, S. Nagarajan, O. Portniaguine, K. Sekihara. “Multiresolution MEG (Magnetoencephalography) Imaging By Adaptive Beamformer Scanning,” In 25th Annual International Conference of the IEEE Engineering In Medicine And Biology Society, Vol. 1, pp. 955--958. September, 2003.
DOI: 10.1109/IEMBS.2003.1279925



L. Ibanez, W. Schroeder, L. Ng, J. Cates. “The ITK Software Guide,” Kitware, Inc., 2003.
ISBN: 1-930934-10-6



M. Ikits, C.D. Hansen, C.R. Johnson. “A Comprehensive Calibration and Registration Procedure for the Visual Haptic Workbench,” In Proceedings of the Ninth Eurographics Workshop on Virtual Environments, Zurich, Switzerland, pp. 247--254. May, 2003.