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The Institute supports a diversified array of computing laboratories, collaborations, and programs. Laboratories include the Basic Sciences Computing Laboratory, the Scientific Development and Visualization Laboratory, the Biomedical Modeling, Simulation, and Design Laboratory, the Computational Genetics Laboratory, the Scientific Data Management Laboratory, and the LCSE-MSI Visualization Laboratory. Interdisciplinary Ph.D. programs supported by the Institute are the Scientific Computing and Computational Neuroscience programs. Finally, the Institute cooperates with IBM on the University of Minnesota-IBM Computational Life Sciences Program.
This laboratory provides researchers with access to a unique mixture of computational servers, workstations, visualization tools, software and technical support.
The Computational Genetics Laboratory (CGL) is designed to meet the emerging computational needs of the computational biology community, especially in the areas of genomics, bioinformatics, and proteomics.
This laboratory provides University researchers with access to workstations, software, and technical support for scientific computation and visualization.
This laboratory provides researchers with access to a large screen visualization system. The system can be used in high-resolution mode to display detailed visualizations. The system can also be used as an immersive visualization system using active 3D stereo and motion tracking.
The Scientific Data Management Laboratory (SDML) is designed to meet the evolving data management demands of University faculty and researchers.
The primary mission of the Scientific Development and Visualization Laboratory (SDVL) is to enhance the Supercomputing Institute by providing its researchers access to current supporting technology and expertise necessary to carry out successful state-of-the-art supercomputing.