| Date: Friday, April 08, 2011
Title: Metanumerical Computing for Partial Differential Equations: the Sundance Project
Abstract: Metanumerical computing deals with computer programs that
use abstract mathematical structure to manipulate, generate, and/or
optimize compute-intensive numerical codes. This idea has gained
popularity over the last decade in several areas of scientific
computing, include numerical linear algebra, signal processing, and
partial differential equations. The Sundance project is such an
example, using high-level software-based differentiation of
variational forms to automatically produce high-performance finite
element implementations, all within a C++ library. In addition to
automating the discretization of PDE by finite elements, recent work
is focused on using Sundance to generate block-structured matrices and preconditioners
for some incompressible flow problems.
This is joint work with Kevin Long and Victoria Howle.
Speaker: Robert Kirby
Institution: Texas Tech
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