Introduction
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.
Web Page
Versions
2016.05.004
Flavours
1
Architecture
x86_64
Group
module load site-local
Build Details
Compiled with:
- intel/compiler/64/2016.3.210
- intel/mkl/64/2016.3.210
- gcc/6.3.0/1
- FCFLAGS=”-nofor_main -O2 -xHost”
- CCFLAGS=”-O2 -xHost”
- CXXFLAGS=”-O2 -xHost”
Usage
module load development elpa/2016.05.004/1
Example Job Scripts
None required.
Status
Untested.