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


W. Correa, J. Klosowski, C.T. Silva. “Visibility-Based Prefetching for Interactive Out-Of-Core Rendering,” In Proceedings of the 2003 IEEE Symposium on Parallel and Large-Data Visualization and Graphics, pp. 2. 2003.
ISBN: 0-7695-2091-X



W. Correa, J. Klosowski, C.T. Silva. “Out-Of-Core Sort-First Parallel Rendering for Cluster-Based Tiled Displays,” In Parallel Computing, Vol. 29, No. 3, pp. 325--338. 2003.



K. Damevski, S.G. Parker. “Parallel Remote Method Invocation and M-by-N Data Redistribution,” In Proceedings of the 4th Los Alamos Computer Science Institute Symposium, pp. (published on CD). 2003.



D.E. DeMarle, S.G. Parker, M. Hartner, C. Gribble, C.D. Hansen. “Distributed Interactive Ray Tracing for Large Volume Visualization,” In IEEE Symposium on Parallel Visualization and Graphics, Seattle, Wa., pp. 87--94. October, 2003.



C.C. Douglas, M. Cole, Y. Efendiev, R. Ewing, V. Ginting, C.R. Johnson, G.M. Jones, R. Lazarov, C. Shannon, J. Simpson. “Workshop on Dynamic Data-Driven Application Systems,” In ICCS 2003, Melbourne, Australia, June 2-3, 2003.



C.C. Douglas, C.E. Shannon, Y. Efendiev, R.E. Ewing, V. Ginting, R. Lazanov, M.J. Cole, G.M. Jones, C.R. Johnson, J. Simpson. “A Note on Dynamic Data Driven Application Simulation (DDDAS) Using Virtual Telemetry,” In International Conference on Parallel Algorithms and Computing Environments, pp. pp.193--198. 2003.



H. Edelsbrunner, J. Harer, V. Natarajan, V. Pascucci. “Morse Complexes for Piecewise Linear 3-Manifolds,” In Proceedings of the 19th ACM Symposium on Computational Geometry, Note: UCRL-PROC-208698, pp. 361--370. June, 2003.



R. Fairlie, C.E. Goodyer, M. Berzins, L.E. Scales. “Numerical Modelling of Thermal Effects in Elastohydrodynamic Lubrication Solvers,” In Tribological Research and Design for Engineering Systems, Proceedings of the 29th Leeds-Lyon Symposium on Tribology, Edited by D. Dowson et al., Elsevier, pp. 675--683. 2003.



P.T. Fletcher, S. Joshi, C. Lu, S. Pizer. “Gaussian Distributions on Lie Groups and Their Application to Statistical Shape Analysis,” In Inf Process Med Imaging, Vol. 18, Note: Runner-up for the Francois Erbsmann Prize, pp. 450--462. 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.



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.



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



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