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The Scientific Discovery through Advanced
Computing (SciDAC) program was created to
addressed major scientific challenges relevant to the DOE Office of Science.
Among the challenges that can be addressed through advances in scientific supercomputing are:
designing materials atom-by-atom, revealing the functions of proteins,
understanding and controlling plasma turbulence, designing new particle
accelerators, and modeling global climate change.
A number of SciDAC projects, listed below, rely on the computational facilities and support provided by the NERSC High Performance Computing Center.
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NERSC project PI: Robert Ryne, Lawrence Berkeley National Laboratory
NERSC staff contacts: Richard Gerber, User Services; Esmond Ng, Scientific Computing
This project is developing a new generation of accelerator simulation codes will help us to use existing accelerators more efficiently and will strongly impact the design, technology and cost of future accelerators.
NERSC Project PI: Bruce Cohen, Lawrence Livermore National Laboratory
NERSC staff contacts: Tom DeBoni, User Services; Jodi Lamoureux, Scientific Computing
Summit is an open-source framework for global gyrokinetic turbulence simulations with kinetic electrons and electromagnetic perturbations. Summit is part of the The Plasma Microturbulence SciDAC Project.
NERSC project PI: Stephen Jardin, Princeton Plasma Physics Laboratory
NERSC staff contacts: Tom DeBoni, User Services; Jodi Lamoureux, Scientific Computing
This research project will develop computer codes that will enable a realistic assessment of the mechanisms leading to disruptive and other stability limits in the present and next generation of fusion devices. The Center for Extended MHD Modeling project is based on extensions of the M3D (Multilevel 3D) and NIMROD projects.
NERSC project PI: Don Batchelor, Oak Ridge National Laboratory
NERSC staff contact: Tom DeBoni, User Services
The goal of this research is to use advanced terascale computing to obtain quantitatively accurate predictive understanding of electromagnetic wave processes, which support important heating, current drive, and stability and transport applications in fusion-relevant plasmas.
NERSC project PI: Michael Pindzola, Auburn University
NERSC staff contact: Tom DeBoni, User Services
This research will address key problems and produce new levels of quantitative knowledge regarding collisions involving electrons, atoms, atomic ions, molecules and molecular ions.
NERSC project PI: Amitava Bhattacharjee, University of Iowa
NERSC staff contact: Richard Gerber, User Services
The research goals of this project include producing a unique high performance code and using this code to study magnetic reconnection in astrophysical plasmas, in smaller scale laboratory experiments, and in fusion devices.
NERSC project PI: Stan Woosley, University of California, Santa Cruz
NERSC staff contact: Richard Gerber, User Services
This project will use modeling of integrated complex systems to search for the explosion mechanism of core-collapse supernovae one of the most important and challenging problems in nuclear astrophysics.
NERSC project PI: Anthony Mezzaccappa, Oak Ridge National Laboratory
NERSC staff contact: Richard Gerber, User Services
The TeraScale Supernova Initiative is a national collaboration centered at the Oak Ridge National Laboratory and involves eight universities. TSI has as its central focus to ascertain the explosion mechanism(s) for core collapse supernovae and to understand and predict their associated phenomenology, including neutrino signatures, gravitational radiation emission, and nucleosynthesis. This is one of the most important unsolved problems in computational astrophysics.
TSI is an interdisciplinary effort of astrophysicists, nuclear physicists, applied mathematicians, and computer scientists. Multidimensional hydrodynamics, magnetohydrodynamics, and radiation hydrodynamics simulations that implement state of the art nuclear and weak interaction physics are planned in order to understand the roles of neutrino transport, stellar convection and rotation, and magnetic fields in the supernova mechanism. Scalable algorithms for the solution of the large sparse linear systems of equations that arise in radiation transport applications and a customized collaborative visualization environment will be developed also.
NERSC project PI: Henry Schaefer, University of Georgia
NERSC staff contact: David Skinner, User Services
Efficient methods will be developed for incorporating dynamical electron correlation effects into molecular quantum mechanics by using basis sets that depend explicitly on the inter-electronic distance (R12). This will allow extremely high accuracy to be achieved while dramatically reducing the number of basis functions needed to describe the electronelectron correlation cusp and, thus, dramatically reducing the computational costs, which typically depend on the number of basis functions to the fifth or higher power.
NERSC project PI: David Keyes, Old Dominion University
NERSC staff contacts: Mike Stewart, User Services; Osni Marques, Scientific Computing
NERSC project PI: David Bailey, Lawrence Berkeley National Laboratory
NERSC staff contacts: Mike Stewart, User Services; Osni Marques, Scientific Computing
NERSC project PI: William Johnston, Lawrence Berkeley National Laboratory
This collaboratory will define, integrate, deploy, support, evaluate, refine and develop the persistent Grid services needed for a scalable, robust, high-performance DOE Science Grid.
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