"More data will be created in the next four years than in the history of the planet."

- Mark Hurd, CEO HP

The Center for Extreme Data Management Analysis and Visualization (CEDMAV) comes as a direct result of collaborative work, in both the School of Computing and the Scientific Computing and Imaging (SCI) Institute, in the computer science areas supporting scientific investigation and high-performance computing. The recurring difficulties of creating, managing, and understanding extremely large and complex datasets ("extreme data") have become a common thread in many of our projects and collaborations, both locally and internationally. CEDMAV focuses on theoretical and algorithmic research, systems development, and tool deployment for addressing the challenge of managing, analyzing, and visualizing datasets of extreme size. Fields as disparate as geospatial information systems, astrophysics, climate modeling, energy production and distribution, and medical imaging share a need for the research and results that CEDMAV creates. Because of the arrayed needs of the CEDMAV research agenda, the design of the CEDMAV mission is inherently cross-disciplinary. As such, CEDMAV looks to engage faculty and students across multiple departments, such as the School of Computing, Electrical and Computing Engineering, Electrical Engineering, Civil Engineering, and the Center for High Performance Computing (CHPC). CEDMAV also develops its own training program to teach undergraduate and graduate students the techniques needed for dealing with extreme data problems, while preparing them for the challenges of modern science investigation and the management of large data centers.

The Team

Valerio Pascucci
Director CEDMAV
Professor, SCI Institute,
School of Computing, University of Utah
Laboratory Fellow, Pacic Northwest National Laboratory