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Scientific Computing and Visualization

The Scientific Computing and Visualization (SCV) group within Information Services & Technology manages specialized computing and communication facilities, along with software, training, and consulting, in support of all areas of computational research at Boston University. SCV resources are typically used in computational science and engineering, simulation, modeling, data analysis, and other disciplines that require high-performance computing or complex visualization. The supercomputing facility (SCF) currently managed by the group is the Shared Computing Cluster (SCC), a large Linux cluster located at the Massachusetts Green High Performance Computing Center (MGHPCC) in Holyoke, MA. The group also manages the Computer Graphics Laboratory and the high-resolution, tiled, stereoscopic Deep Vision Display Wall. A more detailed description of the computing facilities and visualization capabilities is available.

The SCV staff can enhance your experience with these facilities. The staff can assist with selecting which software best meet your needs; learning how to use computational and/or graphics algorithms, tools and packages; developing parallel algorithms and programs; tuning your application for best performance; developing custom computer graphics tools; and creating virtual environments for scientific research and fine arts.

Use of SCV’s Scientific Computing Facilities (SCF), consulting, and training services are offered free of charge to all members of the Boston University community and their collaborators. There is, in some cases, a charge for industrial partners.

Resources are managed in close consultation with the Research Computing Governance Committee, the BU Center for Computational Science, and the Rafik B. Hariri Institute for Computing and Computational Science & Engineering.