The centers and initiatives below are affiliated with the School of Computational Science & Engineering.
FODAVA Center
The Foundations on Data Analysis and Visual Analytics (FODAVA) research initiative is dedicated to both defining the foundations of the data and visual analytics fields and advancing the state-of-the-art. Established in 2008, the FODAVA initiative is a collaborative effort funded jointly by the National Science Foundation and the Department of Homeland Security. Haesun Park leads the project.
Institute for Data and High Performance Computing
Our mission is to leverage investments and research in high performance computing (HPC) across all of Georgia Tech. We do this by creating and strengthening multidisciplinary research teams that combine deep knowledge of HPC application areas with advances in computational techniques to attack the most challenging problems facing society. One of our most important initiatives is NextGen Codes, which recognizes that today’s HPC platforms are undergoing dramatic changes that require fundamental changes in how we write software. GTIDH’s other activities include management of both Georgia Tech’s HPC assets and external perceptions of HPC activities and research on campus.
Keeneland: National Institute for Experimental Computing
Faculty: Jeffrey Vetter
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. 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.
Center for Hybrid Multicore Productivity Research
Faculty: David Bader, Rich Vuduc, Tom Conte, Hyesoon Kim, Alenka Zajic
The NSF Center for Multicore Productivity Research (CHMPR) and its affiliated industry and government partners aim to be the preeminent cooperative research consortium for addressing the productivity, performance and scalability issues in meeting the insatiable computational demands of its sponsors' applications through the continuous evolution of multicore architectures and open source tools. The CHMPR research programs draws on the diverse computational science expertise available at the partnering universities (Georgia Tech, University of Maryland, University of California-San Diego) to address industry’s multicore application needs.
Center for Adaptive Supercomputing Software-Multithreaded Architectures
Faculty: David Bader
The Center for Adaptive Supercomputing Software for Multithreaded Architectures (CASS-MT) is a DoD-sponsored Center in partnership with Pacific Northwest National Laboratory. The newest breed of supercomputers have hardware set up not just for speed, but also to better tackle large networks of seemingly random data. A multi-institutional group of researchers has been awarded over $10 million to develop software for these supercomputers. Applications include anywhere complex webs of information can be found: from internet security and power grid stability to complex biological networks. Georgia Tech leads the center’s efforts for developing methods for analyzing massive complex semantic networks. More thoroughly understanding social networks, for example, can help tackle challenges such as influencing change and understanding critical trends in behaviors and customs. Similar computational capabilities can be applied to finding vulnerabilities in the power grid and monitoring important protein interactions in cancer research.
Center for Relativistic Astrophysics
Faculty: Pablo Laguna, Deirdre Shoemaker
The Center for Relativistic Astrophysics (CRA) is devoted to interdisciplinary research and education linking astrophysics, astroparticle physics, numerical relativity and gravitational wave physics. Our research focuses on extreme astrophysics such as mergers of black holes and neutron stars, central engines of active galactic nuclei, gamma ray bursts and sources of the high-energy cosmic rays and neutrinos. Headed by Adjunct Professor Pablo Laguna.

