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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)

This allows to install several versions of the library in the same
directory

The QR decomposition test program can now called with parameters for
matrix size, nev, and block size.
This closses issue #20

Michael Bankd (debian) provided a patch, which allows
to run the qr-decomposition test programs with smaller matrices, and
thus allows testing in reasonable time on limited hardware (e.g. arm
devices)

In order to make the patch work, also Makefile.am was updated

In case of SSE/AVX/AVX2 it could happen that more than one kernel
(since some depend on other kernels, e.g. block 6 on block 4 and
block 2) were called

The SSE kernels with blocking of 2,4,6 (real case) and 1,2 (complex)
case are now available by default

Thus the following changes have been done
- introduce new macros in configure.ac and Makefile.am
- renmae the AVX kernels in AVX_AVX2 (they also support AVX2)
- introduce new files with SSE kernel
- introduce new kernel parameters !
- make the SSE kernels callable

The results are identical with previous kernels

- The SSE part will be available in different files.
- Specify whether AVX or AVX2 was used to build

files

The test programs include the same template now, the
printed messages are thus unified

The configure flag "--enable-shared-memory-only" triggers a build
of ELPA without MPI support:

- all MPI calls are skipped (or overloaded)
- all calls to scalapack functions are replaced by the corresponding
  lapack calls
- all calls to blacs are skipped

Using ELPA without MPI gives the same results as using ELPA with 1 MPI
task!

This version is not yet optimized for performance, here and there some
unecessary copies are done.

Ths version is intended for users, who do not have MPI in their
application but still would like to use ELPA on one compute node

In some C test programs the function declaration header files
have been missing

The Fortran variable declerations "variable type*[4,8,16]" is non
Fortran standard. It might cause problem in the future.
Furthermore, the usage of Fortran and C togehther is more clean
if variables are defined according to C variable types.

This is done, now for all the test programs

This commit does not change the interfaces defined in ELPA_2015.11.001 !
All functionality is available via the interface names and definitions
as in ELPA_2015.11.001

But some new interfaces have been added, in order to unfiy the
references from C and Fortran codes:

- The procedures to create the ELPA (row/column) communicators are now
  available from C _and_ Fortran with the name "get_elpa_communicators".
  The old Fortran name "get_elpa_row_col_comms" and the old C name
  "elpa_get_communicators" are from now on deprecated but still available

- The 1-stage solver routines are available from C _and_ Fortran via
  the names "solve_evp_real_1stage" and "solve_evp_complex_1stage".
  The old Fortran names "solve_evp_real" and "solve_evp_complex" are
  from now on deprecated but still functional.

All documentation (man pages, doxygen, and example test programs) have
been changed accordingly.

This commit implies a change in the API versioning number, but no
chan...

- the contact email is now: elpa-library@mpcdf.mpg.de
- the official website is now hosted at http://elpa.mpcdf.mpg.de

The Rechenzentrum Garching (RZG) has been renamed into
the Max Planck Computing and Data Facility (MPCDF).

This is reflected now in the adapted headers.

In the near future, all references to the ELPA webside and
the ELPA email will also be adapted.

A build without autotools is not officially supported anymore.
Thus this --- broken since long time --- Makefile.example is removed

The examples, how to invoke ELPA from a c program have been updated.
There are now examples for ELPA1 and ELPA2 both real and complex case.
The test cases are still with less functionality than their Fortran
counter parts, they are just ment as a "proof-of-concept".

- enabling fusing iterations of stage 5 in ELPA2 for every configuration
- Changed reduction bandwidth in ELPA2 to be at least 64
- partial OpenMP parallelization of the QR factorization in bandred_real
- OpenMP parallelization of SYMM
- OpenMP parallelization of SYR2K in bandred_real
- OpenMP parallelization for elpa1_reduce_add_vectors and elpa1_transpose_vectors
- AVX2 support in backtransformation elpa2_kernels (FMA3 instructions introduced with Haswell microarchitecture)