Research
Group in Computational Science and Engineering
Department of Computer Science,
CU-Boulder
Computational Science and
Engineering (CS&E) is one of the major research areas in the Department of
Computer Science. The research focus is on the development of scalable
algorithms and software for very large applications and for massively parallel
computers. In particular, we work in the
following areas:
o
global
optimization methods with applications in protein folding problems
o
numerical methods
for partial differential equations
o
domain
decomposition methods
o
constrained and unconstrained optimization algorithms
o
high performance
algorithms and software in numerical linear algebra
o
high order
methods for climate modeling
o
information
retrieval
Faculty and research interests:
Bradley, Elizabeth, Scientific computation
and artificial intelligence; nonlinear dynamics and chaos; classical mechanics; network theory and
circuit design.
Byrd, Richard,
Nonlinear optimization; linear programming; numerical linear
algebra; nonlinear data fitting; global optimization in molecular chemistry;
parallel computing.
Cai, Xiao-Chuan, Scientific
computing; parallel algorithms and software for partial differential equations.
Jessup, Elizabeth, High-performance
scientific computing; numerical linear algebra; design, analysis, and
implementation of serial and parallel algorithms for matrix algebra problems.
McBryan, Oliver, Heterogeneous
computing; MPP benchmarking and performance evaluation; parallel compilation
and transformation tools; scalable networking; scalable runtime support for MPP
systems.
Schnabel, Bobby, Numerical
optimization; solution of systems of nonlinear equations; nonlinear least
squares; parallel numerical languages and tools; parallel algorithms;
applications of optimization to molecular chemistry.
Tufo, Henry, High-performance
scientific computing; scalable multilevel solvers; lightweight software tools;
immersive visualization.
Other research groups in
CS&E in
Center for Aerospace Structures,
CU-Boulder
Department of Applied Mathematics,
CU-Boulder
Center for Computational Mathematics,
CU-Denver
Scientific Computing Division, NCAR
Mathematical and Computational Sciences
Division, NIST