- The National Institute for Computational Sciences (NICS)
- Extreme Science and Engineering Discovery Environment (XSEDE)
- National Institute for Experimental Computing (Keeneland)
- Remote Data Analysis and Visualization Center (RDAV)
- Application Acceleration Center of Excellence (AACE)
- Newton HPC Program
- Interdisciplinary Graduate Minor in Computational Science (IGMCS)
- Genome Science and Technology (GST)
- Scalable Computing and Leading Edge Innovative Technologies (SCALE-IT)
- Sustainable Technology through Advanced Interdisciplinary Research (STAIR)
Computational Science Organizations
XSEDE Resource Provider
The National Institute for Computational Sciences (NICS) at the University of Tennessee is a product of a $65M Track 2B award by the National Science Foundation. The mission of NICS is to enable the scientific discoveries of researchers nationwide by providing leading- edge computational resources and education, outreach and training for under-represented groups.
NICS has established a major new petascale computing environment fully integrated with XSEDE with access to the 1,030-teraflops Cray XT5 system. The system, called Kraken, contains 16,512 compute sockets, 129 terabytes of memory, and 3.3 petabytes of raw disk space. The XT5 system delivers in excess of 700 million CPU hours per year to XSEDE.
Kraken is located at Oak Ridge National Laboratory, at the Oak Ridge Leadership Computing Facility (OLCF).
Scientists, engineers, and other U.S. researchers may apply for free allocations of high-performance computer time, advanced user support, and storage resources that are available through the National Science Foundation (NSF) Office of Cyberinfrastructure’s (OCI) XSEDE. To apply for an allocation of any size, please visit the XSEDE website and use the online submission system. NICS is one of the major centers affiliated with XSEDE.
Keeneland: National Institute for Experimental Computing
The Keeneland Project is a five-year, $12 million Track 2 grant awarded by the NSF for the deployment of an experimental high performance system. The Georgia Institute of Technology (Georgia Tech) and its partners, the University of Tennessee at Knoxville and the Oak Ridge National Laboratory will initially acquire and deploy a small, experimental, high-performance computing system consisting of an HP system with NVIDIA Tesla accelerators attached.
RDAV is the University of Tennessee's Center for Remote Data Analysis and Visualization is funded by the National Science Foundation. The goal of RDAV is to make high-performance computing available to the national scientific community, and is focused on providing American researchers and educators with the capability to work with extremely large amounts of digitally represented information.
Application Acceleration Center of Excellence (AACE)
The Application Acceleration Center of Excellence was established by the Joint Institute for Computational Sciences in 2011 in partnership with NICS, Cray, AMD, and other institutions including the University of Tennessee, Virginia Polytechnic Institute and State University, Georgia Institute of Technology, Florida State University, University of California Santa Barbara, Indiana University, and Jackson State University. Its twofold mission is to optimize applications for current and future accelerator-based compute systems and to develop expertise in the expression and exploitation of fine-grain and medium-grain parallelism crucial for exascale computing, making AACE an essential element of a sustainable software infrastructure for simulation in science and engineering.
The Newton program is a joint effort between the Office of Research, the Office of Information Technology, and the departments of the University of Tennessee to establish a campus research computing environment. We operate a general purpose cluster computing system designed for use by researchers at the University of Tennessee, Knoxville. The cluster performs functions such as general research computing and also code testing and fine tuning, prior to use on larger computing facilities such as those of the UT/ORNL Joint Institue for Computational Science.
Interdisciplinary Graduate Minor in Computational Science
The IGMCS is a University of Tennessee campus-wide academic program developed by faculty from a wide range of campus colleges and departments with an interest in Computational Science.
Computational modeling and simulation are indispensable tools in nearly every field of science and engineering. People trained in Computational Science find themselves in very high demand, especially for the most exciting, leading edge work.
The graduate school of Genome Science and Technology is designed to educate PhD-level scientists who are equipped to tackle the complex world of biology using modern technologies. The GST curriculum lays a firm foundation in molecular genetics, biochemistry, and bioinformatics, followed by specialization in the area of the student’s dissertation research. GST welcomes students with a solid undergraduate academic background in biological sciences, physical sciences, or computational sciences.
SCALE-IT is an interdisciplinary graduate fellowship program training future computational biologists at all scales of biology, from atoms to ecosystems. SCALE-IT is funded through NSF's Integrated Graduate Education and Research Training (IGERT) program, and the program provides tools and support to transcend the traditional barriers between disciplines.
The Sustainable Technology through Advanced Interdisciplinary Research program is an NSF-funded IGERT program for graduate education at the University of Tennessee, Knoxville. The STAIR program provides an opportunity for talented scientists and engineers to earn a PhD in one of three areas related to sustainable energy.
A joint UT and ORNL venture, the Computational Science Initiative (CSI) represents a new level of opportunity for collaborative research in computationally-intensive fields of science and engineering. The initiative offers financial support and access to the extraordinary computing facilities housed in the ORNL Center for Computational Sciences.