ELPA can now be linked against a 64bit integer version of MPI and
ScalaPack. This is an experimental feature

The following points are still to be done
- does not work with real QR-decomposition
- generalized routines return wrong results
- the C tests and the C Cannon algorithm implementation do not
  work (no 64bit header files for MPI *at least* with Intel MPI)

ELPA can now link agains a 64bit integer verion of BLAS/LAPACK.
Currently this only works if ELPA is compiled with MPI=OFF!

The 64bit support is not available in the legacy interface

This solves issue #66

tile size is used in elpa1_tridiag and elpa2_bandred.
Iits value is computed based on block size and least common multiple of
number of processes rows and colums, but then can be enlarged to some
multiple of this value. How much it should be enlarged can now be
influenced by min_tile_size parameter.

Anything if it makes Andreas happy :)

Introducing python script plot.py containing several classes used to
plot matrices stored in block-cyclic distribution as a 1 global matrix.
Docstrings in plot.py should explain the ussage. There are also two
use cases included, both with commented scripts (using classes from
plot.py) and a screenshot. One of the use cases contains also tarball
with data.

Apart from that, a VERY simple module matrix_plot.F90 was created. It
is really simplistic, a more systematic approach towards loging should
be designed. At the moment, matrix output has to be triggered explicitly
in the code by calling a macro SAVE_MATR(event_description, iteration).

This is a bit cumbersome, as it involves yet another abstract
intermediate type, but necessary due to language limitations.

on misnky

multiplies. The older (stripe) version also remains, controled
by a parameter

blocks