Scientific Computing and Visualization
Of Interest
May 28 to June 27 – Our Summer 2013 tutorials are open for registration, which is required but free.
May 10 – The new Shared Computing Cluster is available for Friendly User testing.
May 6 – The 2013 Buy-in Program for compute and storage on the new BU Shared Computing Cluster is announced.
April 4 – The Katana Cluster now has two sets of nodes that incorporate GPUs and are available to SCF users. Details on this are available here.
February 28 – Information Services & Technology has released a new Data Archiving service for secure, long-term storage of large quantities of infrequently accessed data. This service supports teaching, research, and administrative computing. Individual faculty and staff may request a free allocation of 10GB and research projects 1TB with more available at a subsidized charge.
The Scientific Computing and Visualization (SCV) group within Information Services & Technology at Boston University provides specialized computing and communication resources in support of computational science and engineering, scientific visualization, computer graphics, 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; statistics programming and use of statistical packages; 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.