Upcoming Events

Compgen: Bioinformatics Portal

Seminars-On-Demand

LIGO Data Processing Center

The VR-Desktop: an Accessible Approach to VR Environments in Teaching and Research

An Affordable Immersive Environment in Beginning Design Studio Education - ACADIA 2002

Virtual Reality Space Visualization in Design Education - eCAADe 2002

Dell Case Study for Lion-X

Dell Case Study for LION-XE

Dell Press Release for LION-XL

ArchitectureWeek - IEL Article


The Research Computning and Cyberinfrastructure group is a unit of Information Technology Services (ITS). The RCC group strives to meet the computing technology needs of scholars in their education and research endeavors at Penn State. The group pursues cutting-edge advances in research computing technology in partnerships with faculty members and in strong technical collaborations with various technology companies and institutions. The RCC group was formerly known as Graduate Education and Research Services (GEaRS), please bear with us as we transition our web pages to reflect the recent organizational change.

The High Performance Computing group offers a variety of machines for use in physical, biological and social sciences, engineering, and business related computations. These include: Lion-XO, a cluster consisting of dual Opteron 2.5 Ghz processors connected with Inifiniband, LION-XM, a cluster consisting of 168 dual 3.2 GHz Intel Xeon processors connected with Myrinet, LION-XL, a cluster consisting of 176 dual 2.8 GHz Intel P4 Processors connected with Quadrics Elan3, and LION-XD, a cluster of 16 dual 2.0 GHz Opteron blades connected with Infiniband. The HPC group also offers a Unisys ES7000 system to provide users with access to a large SMP server with 32 Itanium2 processors and 64 Gigabytes of memory. LION-XM and LION-XL have been built in a collaborative partnership with several Penn State faculty members, departments, and institutes. It has helped consolidate and thus significantly increased the research computing resources available to each participant. The HPC group continually researches issues relating to operating systems, file systems, storage, scheduling, high-speed interconnect, compilers, libraries, and application codes, and implements a consistent set of solutions for use by faculty and students.

The Visualization group at RCC offers facilities and related consulting to help researchers gain insight into their data, work telecollaboratively with their peers at other institutions, and enable the use of visualization techniques in teaching and research.

The ACCESS Grid Node uses multicast internetworking to allow group-to-group voice and video teleconferencing, applications and data sharing among multiple remotely-located participants.

The group is also involved in several visualization facility partnerships. The Immersive Environments Lab, a joint effort of ITS and SALA, uses virtual reality projection techniques to create a three-screen, 3D stereoscopic, immersive multimedia display. The IEL, a lab open to all Penn State faculty and students, provides a cross platform (Windows, Mac, Linux) venue for incorporating such technology in teaching and research in the design arts, sciences and engineering disciplines. An additional lab of similar design to the IEL is planned in partnership with faculty in architectural engineering for developing interactive VR techniques for the construction industry.

The Sports Medicine VR Lab, a partnership with researchers in kinesiology and the college of medicine, combines a single-screen, linux-based, VR display with specialized measurement devices to assess relationships among cognitive activity, postural response and motion stimuli in the visual field of subjects who have suffered mild brain trauma.

The Stereo Lecture Classroom, an ITS facility partly supported by the visualization group, offers a high-resolution (2048 x 768) 3D stereoscopic projection display for presenting 3D data or other advanced multimedia in a lecture classroom.

The Display Wall uses scalable real-time rendering on a cluster of 12 computers to display high-resolution images with nearly 10 million pixels on a 6' X 11' large-format screen. The 12-tile display enables viewing of significant detail in any portion of a complex visualization while at the same time viewing the larger context in which such detail occurs.