Scientific Computing and Visualization
The Scientific Computing and Visualization (SCV) group within Information Services & Technology provides 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. 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. The supercomputing facilities provided by the group include a Intel and AMD based Linux cluster (“Katana”) and a 1024-node IBM Blue Gene system. 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 of our systems and software best meet your needs; learning how to use computational and/or graphics algorithms, tools and packages; developing parallel algorithms and programs; developing custom computer graphics tools; creating virtual environments for scientific research and fine arts; and tuning your application for best performance on our systems.
Use of both SCV’s Scientific Computing Facilities (SCF) and our consulting, training, and educational services is 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.