typo and better example of profile output

doc/tutorial/using_gpu.txt

@@ -214,7 +214,7 @@ Tips for Improving Performance on GPU
   the GPU, *float32* tensor ``shared`` variables are stored on the GPU by default to
   eliminate transfer time for GPU ops using those variables.
 * If you aren't happy with the performance you see, try running your script with
-  ``profil=True`` flag. This should print some timing information at program
+  ``profile=True`` flag. This should print some timing information at program
   termination. Is time being used sensibly?   If an op or Apply is
   taking more time than its share, then if you know something about GPU
   programming, have a look at how it's implemented in theano.sandbox.cuda.