Iterative Krylov Methods for Gravity Problems on Graphics Processing Unit
A. Cheik Ahamed, und F. Magoulès. Distributed Computing and Applications to Business, Engineering Science (DCABES), 2013 12th International Symposium on, Seite 16-20. (September 2013)
DOI: 10.1109/DCABES.2013.10
Zusammenfassung
This paper presents the performance of linear algebra operations together with their uses within iterative Krylov methods for solving the gravity equations on Graphics Processing Unit (GPU). Numerical experiments performed on a set of real gravity matrices arising from the Chicxulub crater are exposed, showing the performance, robustness andefficiency of our algorithms, with a speed-up of up to thirty in double precision arithmetics.
%0 Conference Paper
%1 cheikahamed2013iterative
%A Cheik Ahamed, Abal-Kassim
%A Magoulès, Frédéric
%B Distributed Computing and Applications to Business, Engineering Science (DCABES), 2013 12th International Symposium on
%D 2013
%K CUDA GPU Gravity Iterative Krylov Parallel SpMV computing dblp equations methods myown
%P 16-20
%R 10.1109/DCABES.2013.10
%T Iterative Krylov Methods for Gravity Problems on Graphics Processing Unit
%U http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6636411
%X This paper presents the performance of linear algebra operations together with their uses within iterative Krylov methods for solving the gravity equations on Graphics Processing Unit (GPU). Numerical experiments performed on a set of real gravity matrices arising from the Chicxulub crater are exposed, showing the performance, robustness andefficiency of our algorithms, with a speed-up of up to thirty in double precision arithmetics.
@inproceedings{cheikahamed2013iterative,
abstract = {This paper presents the performance of linear algebra operations together with their uses within iterative Krylov methods for solving the gravity equations on Graphics Processing Unit (GPU). Numerical experiments performed on a set of real gravity matrices arising from the Chicxulub crater are exposed, showing the performance, robustness andefficiency of our algorithms, with a speed-up of up to thirty in double precision arithmetics.},
added-at = {2015-03-18T15:09:12.000+0100},
author = {Cheik Ahamed, Abal-Kassim and Magoulès, Frédéric},
biburl = {https://www.bibsonomy.org/bibtex/2fa08ccd1f5da22b63423acd6ad297104/akcheik},
booktitle = {Distributed Computing and Applications to Business, Engineering Science (DCABES), 2013 12th International Symposium on},
doi = {10.1109/DCABES.2013.10},
interhash = {28a944bb32dc06e96fd892bd42494ab8},
intrahash = {fa08ccd1f5da22b63423acd6ad297104},
keywords = {CUDA GPU Gravity Iterative Krylov Parallel SpMV computing dblp equations methods myown},
month = {Sept},
pages = {16-20},
timestamp = {2015-03-20T22:19:19.000+0100},
title = {Iterative Krylov Methods for Gravity Problems on Graphics Processing Unit},
url = {http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6636411},
year = 2013
}