Extreme-Scale Data at the University of Utah
Research and Education
Research and Education
The University of
Utah is developing
a new educational and research focus area related to Extreme-Scale Data
challenges. In synergy with the growth of large data centers in Utah,
the University is coordinating and expanding a number of activities in
this field including emphasis on theoretical and applied research in
power efficient computing, networking, scientific computing, data
management, data mining, analysis and visualization. Prospective
faculty members interested in this exciting new field are invited to
respond to the current School
of
Computing
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Education: The School of Computing
is developing new programs at the
undergraduate and graduate level specifically oriented toward the
preparation of a new generation of computer scientists who are prepared
to face problems in Extreme-Scale Data. These programs include topics
ranging from the theoretical foundations of data mining to the practice
and operations of large data centers.
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Research: Addressing important
challenges in Extreme-Scale Data
requires engaging in interdisciplinary research activities involving a
number of complementary fields. The faculty members of the School of
Computing at the University of Utah are developing research activities
in areas that are central to Extreme-Scale Data problems including
theory, algorithms, search and mining techniques, methods for
large-scale data analysis, architectures for large scale data,
databases, visualization and scientific computing among others.
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| Collaborations: The research
activities by the faculty in this field
include a number of collaborations with corporations and national
laboratories that heavily invest in the fields related to Extreme-Scale
Data including Lawrence Livermore National Laboratory, Lawrence
Berkeley National Laboratory, Los Alams National Laboratory, Sandia
National Laboratory, Argonne National Laboratory, Oakridge National
Laboratory, NSF Teragrid XD Vis progam, Google, Hewlett-Packard,
Microsoft, Yahoo, and AT&T Labs. |
| People: Al Davis, Mary Hall, Chuck Hansen, Sneha Kasera, Mike Kirby, Valerio Pascucci, Suresh Venkatasubramanian, Ross Whitaker. |
