Overview
The Institute for Combinatorial Scientific Computing and Petascale
Simulations (CSCAPES, pronounced "seascapes")
is one of the four Institutes established nationwide in September 2006
as the new component of the second cycle of the DOE initiative
Scientific Discovery through Advanced Computing (SciDAC).
The CSCAPES Institute has a two-fold purpose:
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To accelerate the development and deployment of fundamental enabling
technologies in high performance computing, by creating
algorithms and software tools for key
combinatorial problems in scientific computing at the petascale, and
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To foster the next generation of researchers capable of
effectively applying combinatorial techniques to scientific computing,
by training graduate students and post-doctoral associates,
conducting outreach workshops and tutorials, and publishing
in the scientific literature.
The focus areas of CSCAPES are load balancing in parallel computation,
automatic differentiation, and advanced methods for sparse matrix
computations. To realize its goals, CSCAPES is committed to working
closely with other SciDAC Institutes, Centers for Enabling Technologies, and
Science Application Partnerships, as well as with relevant bodies in
academia and industry, internationally.
The CSCAPES Institute is a collaborative effort among
investigators from
Purdue University,
Old Dominion University,
Sandia National Laboratories,
Argonne National Laboratory,
Ohio State University, and
Colorado State University.
The Institute is funded by DOE's Office of Science.