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Extreme Computing Workshops

Upcoming Workshops

Biology

Fall 2009

Discovery in Basic Energy Sciences: The Role of Computing at the Extreme Scale

August 13-15, 2009
Washington D.C.

Completed Workshops

Fusion Energy Sciences

March 18-20, 2009
Washington D.C.

Nuclear Physics

January 26-28, 2009
Washington D.C.

High Energy Physics

December 9-11, 2008
Stanford, California

Climate Science

November 6-7, 2008
Washington D.C.

Science Based Nuclear Energy Systems Enabled by Advanced Modeling and Simulation at the Extreme Scale

The U.S. Department of Energy's Offices of Science and Nuclear Energy are collaborating in a workshop to understand critical science issues in the use of fission nuclear energy and the role of extreme computing.

This workshop will explore what a "science-based" approach to nuclear energy technology issues involves. We define this approach as the development of technologies needed to advance the safe and environmentally conscious use of nuclear energy as an important source of carbon-emitting free of energy. The main advance in a science-based approach is major improvements in timeliness and creativity as compared to the traditional "empirical or test-based" approach that has been the mainstay of nuclear energy technology development since the 1960s and 1970s when research resulted in the current technologies.

The introduction of advanced modeling and simulation using extreme levels of computing is facilitating the adoption of a "science-based" approach. Current modeling and simulation when combined with theory and advanced experimental techniques provides scientists with a more detailed understanding not only of the end results of physical processes, but also of the processes involved. As a consequence, the "science-based" approach permits faster development of technologies (by increasing the innovation cycle), lower cost (by eliminating the need for time consuming and expensive testing), and improved results (as a result of reduced risk and optimized operations).

Many of today's nuclear energy models are based on ones first developed twenty years ago when the fastest computers were a million times slower than the high performance computers we use. Over the last fifteen years, the DOE Scientific Discovery through Advanced Computing and NNSA Advanced Scientific Computing programs have significantly improved the utility and fidelity of physical system models by employing three-dimensional, highly-resolved simulations. This has advanced the frontier for predictive science.

This workshop will define the actions needed to advance the state-of-the art in the modeling and simulation of nuclear energy and fuel cycle systems.


* Registration by invitation only.

Workshop Report

[http://www.sc.doe.gov/ascr/ProgramDocuments/ProgDocs.html]

Sponsors and Representatives

The Office of Nuclear Engineering and the Office of Advanced Scientific Computing Research (ASCR) are sponsoring the workshop.

Contacts

  • Dr. Robert Rosner, Argonne National Laboratory (Co-Chair)
    Dr. Ernest Moniz, Massachusetts Institute of Technology (Co-Chair)