Cornelius Toole's Research Experience @ LBL

Introduction:

Cornelius is a graduate student in computer science at Jackson State University in Jackson, MS. His research interests include computer graphics and visualization, high performance computing, and distributed computing. For his masters thesis he is investigating ways in which data fusion can aid in the visualization of data in distributed computing environments.

Cornelius's research project here at LBL will involve the visualization of Doug Swesty's (Terrascale Initiative ) datasets on parallel radiation transport. Cornelius will be working on developing visualization techniques and data representations that demonstrate more concisely the properties of numerical methods that more physically accurate solutions radiation transport problem. He will develop his methodology using the crooked pipe test, which is used for evaluating radiation transport algorithms. He is expected to examine the applicability of these techniques to more general simulations such as core collapse supernovae.

Task List:

  1. Learn Visualization Toolkit (VTK).

  2. Learn Fast Light Toolkit (FLTK).

  3. Install VTK.

  4. Run VTK examples.

  5. Run FLTK examples.

  6. Invoke VTK through FLTK interfaces.

  7. Critique LBL Visualization Group Field Work Proposal.

  8. Compile reading list.



Reading List:

  1. Bethel, W and Shalf, J., “Algorithms, Frameworks, and Toolsets for High Performance, Remote and Distributed Scientific Visualization”, Field Work Proposal to the U.S. Department of Energy

  2. Schroeder, W. et al., The Visualization Toolkit, 2nd Edition, Prentice Hall, Upper Saddle River, New Jersey

  3. FLTK 1.1 Documentation

  4. "Tutorial: Using HDF5 for Scientific Data Analysis," John Shalf, LBL. [PowerPoint Presentation] / [PDF] (no LBNL number)

  5. Fiber Bundle HDF5 Interface within Amira

  6. Fiber Bundle HDF5 - Structure Overview

  7. Parallel Radiation Transport and Radiation-Hydrodynamic Algorithms

  8. Tests of Radiation Transport Methods: The Crooked Pipe

  9. FlexIO

  10. Field Encapsulation Library

  11. Wald, L., “Some Terms of Reference in Data Fusion,” IEEE Transactions on Geoscience and Remote Sensing, vol. 37, no. 3, May 1999

  12. H. Carvalho, W. Heinzelman, A. Murphy and C. Coelho, "A General Data Fusion Architecture," Proceedings of the 6th International Conference on Information Fusion (Fusion 2003), July 2003. [PDF]

  13. Kramer, W. et al., “Deep Scientific Computing Requires Deep Data,” IBM Journal of R&D, vol. 48, no. 2, 2004. [PDF]

  14. Su, S., “Fuzzy Hierarchical Data Fusion Networks for Terrain Location Identification Problems,” IEEE Transactions on Systems, Man, and Cybernetics, vol. 34, no. 1, February 2004.





Click on images below to view movies

visualization of energy density data from a crooked pipe radiation transport simulation


visualization of energy density data as a relief from a crooked pipe radiation transport simulation

Link to Object Movie of energy density height map

visualization of time derivative of v_engd data( energy density )


visualization with glyphs depicting the radiation being emitted in various directions in the grid.( click on image to see more images )


Illustration of Discrete Ordinates Data

Powerpoint Presentation Describing Work on Summer Project

TeXt Document of Abstract on Summer Work at LBL

research plan presentation