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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.

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Latest News
  • 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                                                                                                                                                                                 

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