System X
System X is a university wide resource operating on a cost recovery basis for researchers. Researchers without funding or wishing to do exploratory research may apply for an internal allocation of hours on the system. Proposals will be peer reviewed and allocation based on scientific merit. Those with funding may apply for accounts on the system through a web-based form.
System X is now in production and taking allocation requests.
VT-CAVE
The CAVE(tm) is a multi-person, room-sized, high-resolution, 3D video and audio environment. In the current configuration, graphics are rear projected in stereo onto three walls and the floor, and viewed with stereo glasses. As a viewer wearing a position sensor moves within its display boundaries, the correct perspective and stereo projections of the environment are updated by a supercomputer, and the images move with and surround the viewer. Hence stereo projections create 3D images that appear to have a presence both inside and outside the projection-room continuously. To the viewer with stereo glasses the projection screens become transparent and the 3D image space appears to extend to infinity. For example a tile pattern could be projected onto the floor and walls such that the viewer sees a continuous floor extending well outside the boundaries of the projection-room. Three dimensional objects such as tables and chairs would appear to be present both inside and outside this projection-room. To the viewer these objects are really there until they try to touch them or walk beyond the boundaries of the projection-room.
Laboratory for Advanced Scientific Computing and Applications (LASCA)
The goal of the Laboratory for Advanced Scientific Computing and Applications (LASCA) is to provide expertise and leadership in high-end scientific computing research and education at Virginia Tech. Located in the Advanced Computing and Information Technology Center (ACITC), Torgersen Hall, the laboratory is a visible and strategic center of activity in applied high-performance computing on campus. LASCA participants do basic research in high-performance parallel computation and assist scientists and engineers in applying high-end computing resources to their problems. By bringing together experts in scientific computing and its applications, LASCA helps build the kind of multidisciplinary teams needed to address today's most challenging computational science problems.
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