EPJ Web Conf.
Volume 175, 201835th International Symposium on Lattice Field Theory (Lattice 2017)
|Number of page(s)||8|
|Section||9 Software Development|
|Published online||26 March 2018|
A staggered eigensolver based on sparse matrix bidiagonalization
Leadership Computing Facility, Argonne National Laboratory, 9700 S. Cass Ave., Argonne, IL 60439, USA
* Speaker, e-mail: email@example.com Acknowledgments: This research used resources of the Argonne Leadership Computing Facility (ALCF), which is a U.S. Department of Energy Offce of Science User Facility operated under Contract DEAC02-06CH11357. JCO was supported by the ALCF. XYJ was supported by the U.S. Department of Energy Offce of Science under the ECP and SciDAC programs.
Published online: 26 March 2018
We present a method for calculating eigenvectors of the staggered Dirac operator based on the Golub-Kahan-Lanczos bidiagonalization algorithm. Instead of using orthogonalization during the bidiagonalization procedure to increase stability, we choose to stabilize the method by combining it with an outer iteration that refines the approximate eigenvectors obtained from the inner bidiagonalization procedure. We discuss the performance of the current implementation using QEX and compare with other methods.
© The Authors, published by EDP Sciences, 2018
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (http://creativecommons.org/licenses/by/4.0/).
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.