Simulation and Visualization on the Grid

1. Front Matter

   Pages I-XIII

   PDF

2. Grid Technologies

   1. Efficient Distributed File I/O for Visualization in Grid Environments

      • Werner Benger, Hans-Christian Hege, André Merzky, Thomas Radke, Edward Seidel

      Pages 1-16

   2. Performance Enhancements for HPVM in Multi-Network and Heterogeneous Hardware

      • Greg Bruno, Andrew A. Chien, Mason J. Katz, Philip M. Papadopoulos

      Pages 17-32

   3. JACO3: A CORBA Software Infrastructure for Distributed Numerical Simulation

      • Stéphane Gouache, Thierry Priol

      Pages 33-45

   4. New Generalized Data Structures for Matrices Lead to a Variety of High-Performance Algorithms

      • Fred G. Gustavson

      Pages 46-61

   5. Technologies for High-Performance Computing in the Next Millennium

      • Dave Turek

      Pages 62-62

3. Grid Visualization and Virtual Reality

   1. Global Tele-Immersion: Working in Cyberspace

      • Maxine D. Brown

      Pages 63-63

   2. ActiveSpaces on the Grid: The Construction of Advanced Visualization and Interaction Environments

      • Lisa Childers, Terry Disz, Mark Hereld, Randy Hudson, Robert Olson, Ivan Judson et al.

      Pages 64-80

   3. The Global Technology Grid: Its Role in Virtual Reality

      • Tom DeFanti

      Pages 81-81

   4. Steering and Visualization of Electromagnetic Simulations Using Globus

      • Erik Engquist

      Pages 82-97

   5. Immersive Displays for the Individual, the Group, and for Networked Collaboration

      • Henry Fuchs

      Pages 98-98

   6. Distributed Visualization and the Grid

      • Carl Kesselman

      Pages 99-99

   7. Acceleration of a Formfactor Calculation through the Use of the 2D Tree

      • Sungye Kim, Hyekyung Ko, Kyunghyun Yoon

      Pages 100-111

   8. Applications of Volume Rendering in the CAVE

      • Anton H. J. Koning

      Pages 112-121

   9. Scalable Visualization of Galaxies, Oceans, and Brains

      • Bernard A. Pailthorpe, Nicole Bordes

      Pages 122-134

   10. SIM-VR: Interactive Crash Simulation

       • Clemens-August Thole, Otto Kolp, Hans Georg Galbas, Stefanos Vlachoutsis, Heinrich Werner, Jürgen Wind et al.

       Pages 135-140

4. Biology and Chemistry

   1. Visualization on the Grid of Virus-Host Interaction

      • R. Holland Cheng

      Pages 141-153

   2. GISMOS: Graphics and Interactive Steering of MOlecular Simulations

      • Calle Lejdfors, Malek O. Khan, Anders Ynnerman, Bo Jönsson

      Pages 154-164

   3. Monte Carlo Simulation of Solutions of Like-Charged Colloidal Particles

      • Per Linse, Vladimir Lobaskin

      Pages 165-180

5. Physics

   1. Towards Large Eddy Simulation of Complex Flows

      • Niklas Alin, Magnus Berglund, Christer Fureby, Eric Lillberg

      Pages 181-194

It is now 30 years since the network for digital communication, the ARPA-net, first came into operation. Since the first experiments with sending electronic mail and performing file transfers, the development of networks has been truly remarkable. Today's Internet continues to develop at an exponential rate that even surpasses that of computing and storage technologies. About five years after being commercialized, it has become as pervasive as the tele­ phone had become 30 years after its initial deployment. In the United States, the size of the Internet industry already exceeds that of the auto industry, which has been in existence for about 100 years. The exponentially increas­ ing capabilities of communication, computing, and storage systems is also reshaping the way science and engineering are pursued. Large-scale simulation studies in chemistry, physics, engineering, and sev­ eral other disciplines may now produce data sets of ,several terabytes or petabytes. Similarly, almost all measurements today produce data in digital form, whether from collections of sensors, three-dimensional digital images, or video. These data sets often represent complex phenomena that require rich visualization capabilities and efficient data-mining techniques to under­ stand. Furthermore, the data may be produced and archived in several differ­ ent locations, and the analysis carried out by teams with members at several locations-possibly distinct from those with significant storage, computation, or visualization facilities. The emerging computational Grids enable the transparent use of remote instruments, computational and data resources.

• CAVE
• Monte Carlo
• Monte Carlo Simulation
• Simulation
• Virtual Reality
• computational grid
• data structures
• model
• supercomputing
• visualization

• Parallelldatorcentrum Kungl Tekniska Högskolan, Stockholm, Sweden

  Björn Engquist, Michael Hammill, Faith Short

• Department of Computer Science, University of Houston, Houston, USA

  Lennart Johnsson

Policies and ethics