elpa

A massively parallel eigenvector solver

A new efficient distributed parallel direct eigenvalue solver for symmetric matrices. It contains both an improved one-step ScaLAPACK type solver (ELPA1) and the two-step solver ELPA2. ELPA uses the same matrix layout as ScaLAPACK. The actual parallel linear algebra routines are completely rewritten. ELPA1 implements the same linear algebra as traditional solutions (reduction to tridiagonal form by Householder transforms, divide & conquer solution, eigenvector backtransform). In ELPA2, the reduction to tridiagonal form and the corresponding backtransform are replaced by a two-step version, giving an additional significant performance improvement. ELPA has demonstrated good scalability for large matrices on up to 294.000 cores of a BlueGene/P system.

There is no official package available for openSUSE Tumbleweed

Distributions

openSUSE Tumbleweed

science Experimental
2017.05.003
home:amarek:ELPA Community
2017.05.003
home:ealin:physics Community
2017.05.003
home:lorenz:ELPA Community
2017.05.003

openSUSE Leap 15.0

science Experimental
2017.05.003
home:ealin:physics Community
2017.05.003
home:lorenz:ELPA Community
2017.05.003

openSUSE Leap 42.3

official release Official
2015.02.001

science Experimental
2017.05.003
home:lorenz:ELPA Community
2017.05.003

SUSE SLE-15

science Experimental
2017.05.003

Unsupported distributions

The following distributions are not officially supported. Use these packages at your own risk.

openSUSE:Leap:42.1

2015.02.001

openSUSE:Leap:42.2

2017.05.003
2015.02.001

SUSE:SLE-12:SLE-Module-Toolchain

2016.05.004