Dashboard docs (#73)

* Added example on SGE Cluster

* Added example on how to view the dashboard

* Updated dashboard example for clarity.

docs/examples.rst

@@ -48,12 +48,24 @@ can be used, called ``MoabCluster``:
                          resource_spec='pmem=96G',
                          job_extra=['-d /home/First.Last', '-M none'],
                          local_directory=os.getenv('TMPDIR', '/tmp'))
-                        
+
 SGE Deployments
 ---------------
 
 Examples welcome `here <https://github.com/dask/dask-jobqueue/issues/40>`_
 
+On systems which use SGE as the scheduler, ```SGECluster`` can be used:
+
+.. code-block:: python
+
+    from dask_jobqueue import SGECluster
+
+
+    cluster = SGECluster(queue='default.q',
+                         walltime="1500000",
+                         processes=10,
+                         memory='20GB')
+
 SLURM Deployments
 -----------------
 
@@ -77,13 +89,46 @@ SLURM Deployment: Low-priority node usage
 
 
     from dask_jobqueue import SLURMCluster
-    cluster = SLURMCluster(processes=6, 
-                           threads=4, 
-                           memory="16GB", 
-                           project="co_laika", 
+    cluster = SLURMCluster(processes=6,
+                           threads=4,
+                           memory="16GB",
+                           project="co_laika",
                            queue='savio2_bigmem',
                            env_extra=['export LANG="en_US.utf8"',
                                       'export LANGUAGE="en_US.utf8"',
                                       'export LC_ALL="en_US.utf8"'],
                            job_extra=['--qos="savio_lowprio"'])
 
+
+Viewing Dask Dashboard
+~~~~~~~~~~~~~~~~~~~~~~
+
+Sometimes, the Dask dashboard might not be directly accessible via the browser.
+To solve this, you can use SSH tunnelling. Let's say we started with the
+following setup:
+
+.. code-block:: python
+
+    from dask_jobqueue import SGECluster
+    from distributed import Client
+
+    cluster = SGECluster(queue='default.q',
+                         walltime="1500000",
+                         processes=10,
+                         memory='20GB')
+
+    client = Client(cluster)
+
+Say for example, on inspection of the ``client`` object, you see that the
+Dashboard can be viewed at ``http://172.16.23.102:8787/status``. If the webpage
+is not directly accessible in your browser, then the next thing to try would be
+SSH tunneling.
+
+.. code-block:: bash
+
+    # General syntax
+    $ ssh -fN your-login@scheduler-ip-address -L port-number:localhost:port-number
+    # As applied to this example:
+    $ ssh -fN username@172.16.23.102 -L 8787:localhost:8787
+
+Now, you can go to ``http://localhost:8787`` on your browser to view the dashboard.