GUEST COMPUTATIONAL INVESTIGATORS
Guest Computational Investigator (GCI) teams developed scalable algorithmic techniques applicable to Grand Challenge problems. Chosen through a 1992 NASA Research Announcement, the GCI teams and eight Challenge Challenge Investigator teams together comprised Science Team I. The 10 Phase-1 GCIs completed their work in spring 1996. The 11 Phase-2 GCIs concluded their investigations in spring 1997.
Phase-1
Cloud Identification Using Genetic Algorithms and Massively Parallel Computation
Bill Buckles, Tulane University
Proposal Abstract
Planetesimals to Planets: A Study of Formation of Planetary Systems
Donald Davis, Planetary Science Institute
Proposal Abstract
Parallel Decomposition Optimization Algorithms for Large-Scale Neural Network Implementation on MIMD Machines and Applications in Virtual Reality Image Transformation
Xing Feng, Marquette University
Proposal Abstract
Implementation of Helioseismic Data Reduction and Diagnostic Techniques on Massively Parallel Architectures
Sylvain Korzennik, Smithsonian Astrophysical Observatory
Proposal Abstract
Image Compression Using Human Visual System Models, Wavelet Transform Coding, and Massively Parallelizable Algorithms
V. John Mathews, University of Utah
Proposal Abstract
Web Server: V. John Mathews (includes papers)
Musculoskeletal Models and Computational Algorithms for the Numerical Simulation of Human Motion on Earth and in Space
Marcus Pandy, University of Texas, Austin
Proposal Abstract
High Performance Morphological Filtering of Infrared Cirrus Emission
Jeffrey Pedelty, NASA/Goddard Space Flight Center
Proposal Abstract
Development of Scalable Algorithms for Numerical Relativity
Paul Saylor, University of Illinois at Urbana-Champaign
Proposal Abstract
Web Server: NCSA-Potsdam-WashU International Relativity Group (includes papers, visualization movies)
Content-Based Query and Browse of Earth Science Imagery Databases Using High Performance Computers and Networks
Robert Schowengerdt, University of Arizona
Proposal Abstract
Web Server: Digital Image Analysis Laboratory (includes software, papers)
Development and Application of a Three Dimensional Radiation Magnetohydrodynamic Code for Massively Parallel Architectures
James Stone, University of Maryland, College Park
Proposal Abstract
Phase-2
Adaptive Parallel Methods for Reactive Fluid Dynamics and Particle Dynamics Driven by Applications to Galaxy Formation Problems
Dinshaw Balsara, University of Illinois at Urbana-Champaign
Proposal Abstract
Development of a Hybrid Plasma Simulation Model on Massively Parallel Computers
Chin Lin, Aurora Science, Inc.
Proposal Abstract
Parallel Multiscale Algorithms for Astrophysical Fluid Dynamics Simulations
Michael Norman, University of Illinois at Urbana-Champaign
Proposal Abstract
Parallel Algorithms for the Simulation of Protobiological Membranes
Andrew Pohorille, NASA/Ames Research Center
Proposal Abstract
Real-time Multi-Spectral Fusion for Feature Based Querying of Massive Databases
Srinivasan Raghavan, LNK Corporation, Inc.
Proposal Abstract
Application of Massively Parallel Processing Techniques for Least Squares Problems in Satellite Gravity Gradiometry
Robert Schutz, University of Texas, Austin
Proposal Abstract
Stellar/Solar Convection Simulations
Robert Stein, Michigan State University
Proposal Abstract
Web Server: Bob Stein's Research Projects (includes papers)
A Massively Parallel Global Mesoscale Model with Improved Surface-Layer Coupling
Eugene Takle, Iowa State University
Proposal Abstract
Web Server: Dr. Eugene S. Takle
Dense Linear Algebra Algorithms Based on Parallel BLAS
Robert van de Geijn, University of Texas, Austin
Proposal Abstract
Web Server: Robert A. van de Geijn (includes software, papers)
Development of a General-Purpose Accurate Radiative Transfer Model on Parallel Computing Architectures
Zhengming Wan, University of California, Santa Barbara
Proposal Abstract
Parallel Image Compression by Neural Networks
David Yun, University of Hawaii, Manoa
Proposal Abstract
