Bergische Universität Wuppertal
Fakultät für Mathematik und Naturwissenschaften
Angewandte Informatik - Algorithmik

People
Research
Publications
Teaching


Research project "ELPA-AEO - Eigenvalue solvers for petaflop applications: algorithmic extensions and optimizations"

(Hochskalierbare Eigenwert-Löser für PetaFlop-Anwendungen: Algorithmische Erweiterungen und Optimierungen)


Researchers

Martin Galgon
Bruno Lang
Valeriy Manin

Duration and funding

February 2016 to January 2019, funding:

Description

The ELPA-AEO project extends the earlier ELPA project that provided efficient highly parallel routines for solving the generalized eigenproblems A x = B x λ occuring in, e.g., ab initio electronic structure computations. While the focus remains on this application area, the techniques and routines developed in the ELPA-AEO project will extend the range of applicability and improve the efficiency w.r.t. time and efficiency. This includes The Wuppertal group mainly focuses on algorithmic issues.

Project-related publications

Project-related theses

See also

the page of the earlier project ELPA, the ELPA-AEO home page and the eigenvalue-related work on the Reseach page


University of Wuppertal
Faculty of Mathematics and Natural Sciences
Department of Mathematics and Computer Science
Applied Computer Science Group

Last modified:   Disclaimer   lang@math.uni-wuppertal.de