Skip to content. | Skip to navigation

Personal tools

Navigation

Eigenvalue SoLvers for Petaflop-Applications (ELPA)

The publicly available ELPA library provides highly efficient and highly scalable direct eigensolvers for symmetric matrices.

Though especially designed for use for PetaFlop/s applications solving large problem sizes on massively parallel supercomputers,  ELPA eigensolvers have proven to be also very efficient for smaller matrices.

 EmptyBox.png

EmptyBox.png EmptyBox.png

EmptyBox.png

 

 

Latest News
  • New release  2018.05.001 - June 2018
  • New release  2017.11.001 - Nov 2017
  • Update to ELPA release 2017.05.003 - Nov 2017
  • Update to ELPA release 2017.05.002 - Aug 2017
  • New ELPA release 2017.05 - May 2017
  • New ELPA release 2016.11 - Nov 2016
  • New ELPA release 2016.05 - May 2016
  • New git repository at https://gitlab.mpcdf.mpg.de/elpa/elpa
  • New ELPA release 2015.11 - Nov 2015
  • New ELPA release 2015.05 - May 2015                                                                                                                                                                                 

bmbf_logo_deu.gif

BMBF Projekt 01IH08007
Dez 2008 - Nov 2011

Additional Support by

BMBF Projekt 01IH15001
Feb 2016 - Jan 2019
Navigation
Log in


Forgot your password?