Welcome to the website for the Center for Ultra-scale Computing and Information Security at Northwestern University. The Center participants include faculty and researchers from the Department of Electrical and Computer Engineering, the Department of Computer Science, the Feinberg School of Medicine, and the Kellogg School of Management.
The CUCIS also has participants from various national labs such as Argonne National Labatory (ANL), Sandia National Laboratory (SNL), Los Alamos National Laboratory (LANL), Lawrence Livermore National Laboratory (LLNL), and includes support from companies such as IBM, Intel, and Sun.
Today's "connect anytime and anywhere" society based on the use of digital technologies is fueling tremendous data growth and transforming the way our business, science, and digital technology-based world functions. Data in the terabytes range are not uncommon today and are expected to reach petabytes for many application domains in science, engineering, business, bioinformatics, and medicine in the near future. Ultra-scale refers to the two to three orders of magnitude increase in data sizes, computing power, and complexity of data compared to what is considered today. As data becomes so pervasive, assurance, trust and security of information becomes of paramount importance. Secure computing, therefore, must be considered as an important parameter in any research dealing with ultra-scale computing.
The goal of the Center for Ultra-scale Computing and Information Security (CUCIS) is to conduct highly innovative research in many synergistic areas of ultra-scale computing and information technologies. Furthermore, the goal of the center is to foster and enable inter-disciplinary research in computing technologies that scale to these levels. The CUCIS is directed by Prof. Alok Choudhary, and is presently supported by the NSF, DOE, Sandia National Labs, NASA, and Intel. To learn more, please use the navigation bar at the top of the page, or go directly to descriptions of our various research projects, a complete list of our publications, ways to contact the group, or more information about the group members.
Our centers benchmark suite, NU-MineBench, which contains high performance and parallel data mining applications is available for download.
Center News:
- 03/24/08 - Updated CUCIS website launched.
- 09/01/05 - NU-MineBench version 2.0 released: This suite includes high performance and parallel data mining applications. Available for download at NU-MineBench.
- 07/21/05 - Prof. Yan Chen has received a DOE early career grant.
- 06/21/05 - Paper written by K. Coloma, A. Choudhary et al. titled "DAChe: Direct Access Cache System for Parallel I/O" reecsived the best paper award at the 20th International Supercomputer Conference (ISC).
- 06/13/05 - Data mining applications donated by Intel Corporation. They will be customized and added to NU-MineBench.
