Scientific Computing and Visualization
Of Interest
March 21 – The position of Scientific Programmer Analyst within our group of IS&T, Scientific Computing and Visualization, is now open and we are accepting applications.
March 2 – The Katana Cluster has been expanded with 28 additional blades, each with 4 processors, bringing the total system up to 99 blades with a combined 588 processors.
January 12, 2012 – In response to feedback from the BU Research Computing community, we have increased the maximum run time limit on the Katana Cluster. An individual can now have up to 4 processors running for a maximum of 72 hours.
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. SCV manages these resources in close collaboration with the University’s Center for Computational Science. The supercomputing facilities provided by the group include a Intel and AMD based Linux cluster (“Katana”), a 1024-node IBM Blue Gene system, and a collection of IBM pSeries 655 shared-memory systems (soon to be decommissioned on June 1, 2012). 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.