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The
Scientific Computing Group
The Scientific Computing Group (SCG) of the High Performance Computing
Department, Lawrence
Berkeley National Laboratory, works on diverse scientific
applications in connections with the fields of
- Astrophysics
- Atmospheric and Ocean Modeling
- Material Sciences
- Nanosciences
- Data Mining and Data-intensive Computing
as well as generic problems in scientific computing:
- Numerical Linear Algebra such as dense and sparse
linear/eigen system solvers
- Mathematical libraries and templates
- Parallel Programming Environments and Software Tools
The SCG is a place where cross-cutting trends in computational sciences
and scientific computing meet, fertilize and materialize. The SCG
ultimate goal is to advance scientific computing by developing and
enhancing applications in key disciplines, as well as developing tools
and libraries for addressing general problems in computational science.
The group does this by:
- interacting and collaborating with the scientific community
in areas that advance research benefiting DOE and the nation,
- conducting timely research and development in methodologies
and strategies for computational science, and in the design and
implementation of highly efficient computational kernels, and
- contributing application expertise to the National Energy Research Scientific
Computing Center (NERSC) programmatic activities.
The group is formed by regular staff, postdoctoral fellows and
associate faculty. The SCG also hosts short and long term visitors, as
well as a number of summer students every year.
Therefore, with our diverse scientific background and complementary
research skills, we strive to excel in computational
science, enabling and accelerating new scientific discoveries, and
providing an intellectually stimulating and educational environment
that attracts both researchers and graduate students from the best
institutions in the world.
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