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The generic real double and single precision kernels are basically
identical, thus one can use the same template for them.

Since Fortran lacks proper templates, the template is produced
with preprocessor defines

A random matrix is set up, and then result = a**T * 2*b is computed
this is compared with the result of plain scalapack routines and
the maximum norm of "scalapack - elpa" is computed (should be zero on
machine precision)

The actual reason for the linker problems was that the Fortran libraries
where listed before the object files, by modifying the _LINK automake
variables. The proper way to do is of course to add the necessary
libraries after the object files by appending them to the _LDADD
variables.

As the MPI module was not responsible for the linker problems it is now
used by default, unless explicitly switched off with

  --disable-mpi-module

Also, the C test programs that had these linker errors where previously
not compiled in the OpenMP case, for no obvious reason. Now they are
also included there.