Computational Visualization Center University of Texas at Austin   
   
COMPUTATIONAL VISUALIZATION CENTER

  PROJECTS  
Infrastructure | Applications | Remote Visualization
ShastraVisualEyesDiDiAngstromBio-MedX-Tierra

Infrastructure

shastra Shastra is directed at research in CSCW (Computer Supported Cooperative Work) based geometric design prototyping and synthetic environments. The implementation is on the multimedia desktop and harnesses the power of networked workstations.
VisualEyes VisualEyes is focused on integrating geometric modeling, simulation and visualization of static and time-varying imaging, and multivariate scalar, vector, tensor field data. This project is driven by close cooperation with application researchers in bio-nanotechnology, bio-medicine, composite materials, electromagnetic scattering, oil reservoir modeling, and cosmological simulations.
DiDi DiDi studies both the computational hardware and software infrastructure that underpin interactive visual manipulation of extremely large data streams on huge stereo display screens (Data Intensive, Display Intensive computations).

Applications

Angstrom Angstrom studies multiresolution geometric data structures and computational mathematics algorithms that are essential for a wide range of molecular structure determination, energetics, interactions, and simulations.
Bio-Model Bio-Model studies computational modeling, simulation and visualization of anatomical and physiological processes.
X-Tierra X-Tierra studies computational modeling, simulation and visualization of computational earth sciences.

Remote Visualization

Visportal Visualization Portal CVC's remote visualization project aims to make our high-performance visualization software and hardware available from scientist's desktops.
MFDBS Molecular Signatures The goal of this project is to identify and distinguish biomolecules, and develop clustering methods based on certain signatures or fingerprints. The fingerprints are computed from both shapes and properties such as electrostatic potentials.


   Computational Visualization Center University of Texas at Austin