Scientific Computing & Visualization
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Welcome to the Scientific Computing and Visualization Web site.

The Scientific Computing and Visualization (SCV) group within the Office of Information 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 1024-node IBM Blue Gene system, a collection of IBM pSeries 690 and 655 shared-memory systems, and Intel and AMD based Linux clusters. The group also runs the Access Grid Conference Facility, 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.


Of Interest

December 5 - IBM BladeCenter Katana Cluster goes into production use. All SCF users have access. Here is the announcement message.

February 5 - New Voices and New Visions for Engaging Native Americans in Computer Science website goes live. SCV is one of the main partners in this NSF funded collaboration.

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OIT | CCS | March 18, 2008  
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