Scientific Computing and Imaging Institute

The Scientific Computing and Imaging Institute (SCI Institute) at the University
of Utah integrates three major facets of scientific computing--visualization, 
simulation, and geometric modeling--into computational problem solving environments. 
SCI Institute researchers and technologists have contributed to solving computational 
problems in fields including combustion, fluid dynamics, petrochemical reservoir 
simulation, cardiology, neurosurgery, radiology, nuclear fusion, and the atmospheric 
diffusion of pollutants. One of the key missions of the SCI Institute is to provide 
integrated solutions and problem solving environments to help scientists in 
different disciplines solve their own computational problems.


Dr. Christopher Johnson, Director of the SCI Institute
According to SCI Institute Director Christopher Johnson, 
Internet2 high-performance networks provide a direct data channel to our 
collaborators throughout the country. From researching Grid applications to 
leveraging the interactive videoconferencing capabilities of the Access Grid, 
Internet2 provides the networking we need to pursue collaborative Grid-based 
research. SCI Institute researchers are using networking protocols such as 
multicast and IPv6 to accomplish their research while incorporating new and 
innovative networking solutions in a wide range of engineering and scientific 
application areas.

The SCI Institute also houses two national research centers: the NIH NCRR 
Center for Bioelectrical Field Modeling, Simulation and Visualization and the 
DOE Advanced Visualization Technology Center (AVTC). Additionally, the SCI 
Institute houses the NIH-BISTI Program of Excellence in Computational Bioimaging 
and Visualization: Tools For Image Processing and Fusion, Interactive Visualization, 
and Inverse Problems.