Update intro text to pull in README bullet points.

docs/source/index.rst

@@ -7,21 +7,30 @@
 DistArray |version|
 ===================
 
-The DistArray package provides dense, multidimensional, distributed-memory
-arrays for Python.  These arrays are designed to look and feel like `NumPy`_
-arrays but to take advantage of parallel architectures with distributed memory.
-It is currently under heavy development, so things may change quickly!
+DistArray provides general multidimensional NumPy-like distributed arrays to
+Python.  It intends to bring the strengths of NumPy to data-parallel
+high-performance computing.  DistArray has a similar API to `NumPy`_.
 
-DistArray is targeting users who
+The project is currently under heavy development and things are changing
+quickly!
 
-* want to use more than 1 node but less that 1000,
+DistArray is for users who
+
+* know and love Python and NumPy,
+* want to scale NumPy to larger distributed datasets,
+* want to interactively play with distributed data but also
+* want to run batch-oriented distributed programs;
+* want an easier way to drive and coordinate existing MPI-based codes,
 * have a lot of data that may already be distributed,
-* want easy parallel computation on distributed arrays with the interactivity
-  of IPython and the familiar interface of NumPy arrays.
+* want a global view ("think globally") with local control ("act locally"),
+* need to tap into existing parallel libraries like Trilinos, PETSc, or
+  Elemental,
+* want the interactivity of IPython and the performance of MPI.
 
 DistArray is designed to work with other packages that implement the
-`Distributed Array Protocol <http://distributed-array-protocol.readthedocs.org>`_.
+`Distributed Array Protocol`_.
 
+.. _Distributed Array Protocol: http://distributed-array-protocol.readthedocs.org
 .. _NumPy: http://www.numpy.org