CITRIS is proud to announce the fourth annual CITRIS White
Paper competition, which will give away $30K in cash prizes for the best ideas
that demonstrate the ability of IT to address a major societal challenge.
Berkeley Computational Science and Engineering NEWS: NERSC made the No. 7 system in TOP500, Top Spot on Latest List of World’s TOP500 Supercomputers The No. 7 system, called Franklin, is the second new Cray XT5 system. It is installed at DOE’s NERSC Center at the Lawrence Berkeley National Laboratory and achieved 266.3 Tflop/s.
The National Energy Research Scientific Computing Center (NERSC) and
the Computational Research Division at the U.S. Department of Energy’s
Lawrence Berkeley National Laboratory invite applications for the Luis
W. Alvarez Fellowship in Computational Science.
UC Santa Cruz has been given $457,909 to be used to provide financial
aid for students enrolled in the innovative computer game design
program in UCSC's Baskin School of Engineering.
CSE and Parlab co-hosted a two-day “boot camp” on parallel computing on Aug 25-26. This free two-day short course targeted both developers and users of parallel computing on campus, at LBNL and among our outside collaborators.
UC Berkeley and Berkeley Lab established a stronger presence in the field of CSE, primarily through enhanced support for collaborativeresearch projects and development of the Designated Emphasis in CSE for PhD students in the application disciplines.
The Graduate Council has established a Designated Emphasis in Computational Science and Engineering
[CSE] effective 7/1/08. The DE will be offered by an interdisciplinary
grad group and will educate doctoral students to effectively conduct
computationally intensive research across many fields of science and
engineering.
A new multidisciplinary research and education theme has been added to CITRIS's research grid. Computational Science and Engineering (CSE) provides a framework for enhanced support of collaborative research projects involving CSE researchers and students. The program will educate students to better perform and effectively execute computationally intensive research across many fields of science and engineering.