[BANANA] Berkeley Lab - Scientific Computing Seminar - Friday,
12/5/2008, 1:00pm
Esmond G. Ng
EGNg at lbl.gov
Mon Dec 1 00:00:11 PST 2008
Berkeley Lab - Scientific Computing Seminar
Date: Friday, December 5, 2008
Time: 1:00pm-2:00pm
Location: Building 50A, 5132 Conference Room
Seminar Speaker:
Azzam Haidar
University of Toulouse, INPT-ENSEEIHT, France
Title: Parallel Hybrid Solver for Large 3D Problems
Abstract:
Large-scale scientific simulations are nowadays fully integrated in many
scientific and industrial applications. Many of these simulations rely
on modelisations based on PDEs that lead to the solution of huge linear
or nonlinear systems of equations involving millions of unknowns. In
that context the use of large high performance computers in conjunction
with advanced fully parallel and scalable numerical techniques is
mandatory to efficiently tackle these problems.
In this talk we consider the parallel scalability of variants of an
algebraic additive Schwarz preconditioner for the solution of large 3D
problems in a non-overlapping domain decomposition framework. To
alleviate the computational cost, both in terms of memory and
floating-point complexity, we investigate variants based on a sparse
approximation or on mixed 32- and 64-bit calculation. The robustness and
the scalability of the preconditioners are investigated through
extensive parallel experiments on up to two thousand processors.
We represent also an approach based on two levels of parallelism, that
offers the flexibility to combine the numerical and the parallel
implementation scalabilities. The combination of the two levels of
parallelism enables an optimal usage of the computing resource while
preserving attractive numerical performance. Consequently such a
numerical technique appears as a promising candidate for intensive
simulations on massively parallel platforms.
The robustness and parallel numerical performance of the solver is
reported on large challenging linear systems arising from the structural
mechanics and seismic modeling applications.
(This is joint work with Luc Giraud.)
Sponsor of Seminar: Sherry Li
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