tiny themefix, tutorialfix (#1390)

doc/scripts/divio_docs_theme/layout.html

@@ -127,7 +127,7 @@
         <div class="header-title-wrap">
             <a class="header-title" href="{{ pathto(master_doc) }}">{{ project }}</a>
         </div>
-        <a class="logo-link" target="_blank" href="{{ pathto(master_doc) }}"><img src="{{ pathto('_static/' + logo, 1) }}" class="logo" alt="Divio"/></a>
+        <a class="logo-link" target="_blank" href="{{ pathto(master_doc) }}"><img src="{{ pathto('_static/' + logo, 1) }}" class="logo" alt="{{ project }}"/></a>
     </div>
 
           {% include "breadcrumbs.html" %}

doc/tutorial/mpi.rst

@@ -58,14 +58,13 @@ it as an argument to the ``python`` command, you need to use ``srun`` or ``mpiru
 distribution) to execute a number of jobs in parallel. You can still execute the script using ``python``, but then
 MPI will not execute on more than one node.
 
-From the commandline, we can run the script using ``mpirun`` or ``srun`` and specify the number of ranks (``NRANKS``)
+From the commandline, we can run the script using ``mpirun`` (``srun`` on clusters operated with SLURM) and specify the number of ranks (``NRANKS``)
 or nodes. Arbor will spread the cells evenly over the ranks, so with ``NRANKS`` set to 5, we'd be spreading the 500
 cells over 5 nodes, simulating 100 cells each.
 
 .. code-block::
 
-   srun -n NRANKS python network_ring_mpi.py
-   mpirun -n NRANKS python network_ring_mpi.py
+   mpirun -n NRANKS python mpi.py
 
 The results
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