move install to docs

Author: Ehsan Totoni

README.rst

@@ -18,41 +18,4 @@ These academic papers describe the underlying methods in HPAT:
 - `HPAT at HotOS'17 <http://dl.acm.org/citation.cfm?id=3103004>`_
 - `HiFrames on arxiv <https://arxiv.org/abs/1704.02341>`_
 
-Installing HPAT
-===============
-
-These commands install HPAT and its dependencies such as Numba, LLVM and HDF5
-on Ubuntu Linux::
-
-    $ sudo apt install llvm-4.0 make libc6-dev gcc-4.8
-    $ # download and install Anaconda python distribution
-    $ conda create -n HPAT
-    $ source activate HPAT
-    $ conda install numpy scipy pandas gcc mpich2 llvmlite
-    $ git clone https://github.com/IntelLabs/numba.git
-    $ cd numba
-    $ git checkout hpat_req
-    $ python setup.py develop
-    $ cd ..
-    $ # download hdf5 and cd inside
-    $ CC=mpicc CXX=mpicxx ./configure --enable-parallel
-    $ make; make install
-    $ cd ..
-    $ export HDF5_DIR=/home/user/hdf5-1.10.1/hdf5/
-    $ export C_INCLUDE_PATH=$C_INCLUDE_PATH:$HDF5_DIR/include
-    $ export CPLUS_INCLUDE_PATH=$CPLUS_INCLUDE_PATH:$HDF5_DIR/include
-    $ export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:$HDF5_DIR/lib
-    $ export LIBRARY_PATH=$LIBRARY_PATH:$HDF5_DIR/lib
-    $ git clone https://github.com/h5py/h5py.git
-    $ cd h5py
-    $ python setup.py configure --hdf5=$HDF5_DIR
-    $ LDSHARED="mpicc -shared" CXX=mpicxx LD=mpicc CC="mpicc" python setup.py install
-    $ cd ..
-    $ git clone https://github.com/IntelLabs/hpat.git
-    $ cd hpat
-    $ LDSHARED="mpicxx -shared" CXX=mpicxx LD=mpicxx CC="mpicxx -std=c++11" python setup.py develop
-
-Commands for running the logistic regression example::
-
-    $ python generate_data/gen_logistic_regression.py
-    $ mpirun -n 2 python examples/logistic_regression.py
+HPAT's documentation can be found `here <https://intellabs.github.io/hpat/>`_.

docs/_build/doctrees/environment.pickle

@@ -1,4 +1,4 @@
 # Sphinx build info version 1
 # This file hashes the configuration used when building these files. When it is not found, a full rebuild will be done.
-config: 7e92f68e7de450dabf122e0b9219a2a0
+config: 2ca56a9ba859c2fc39c9a2235e6870fa
 tags: 645f666f9bcd5a90fca523b33c5a78b7

docs/_build/doctrees/index.doctree

@@ -13,3 +13,4 @@ HPAT documentation
    source/overview
    source/supported
    source/notsupported
+   source/install

docs/_build/doctrees/source/install.doctree

@@ -0,0 +1,40 @@
+.. _install:
+
+Installing HPAT
+===============
+
+These commands install HPAT and its dependencies such as Numba, LLVM and HDF5
+on Ubuntu Linux::
+
+    $ sudo apt install llvm-4.0 make libc6-dev gcc-4.8
+    $ # download and install Anaconda python distribution
+    $ conda create -n HPAT
+    $ source activate HPAT
+    $ conda install numpy scipy pandas gcc mpich2 llvmlite
+    $ git clone https://github.com/IntelLabs/numba.git
+    $ cd numba
+    $ git checkout hpat_req
+    $ python setup.py develop
+    $ cd ..
+    $ # download hdf5 and cd inside
+    $ CC=mpicc CXX=mpicxx ./configure --enable-parallel
+    $ make; make install
+    $ cd ..
+    $ export HDF5_DIR=/home/user/hdf5-1.10.1/hdf5/
+    $ export C_INCLUDE_PATH=$C_INCLUDE_PATH:$HDF5_DIR/include
+    $ export CPLUS_INCLUDE_PATH=$CPLUS_INCLUDE_PATH:$HDF5_DIR/include
+    $ export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:$HDF5_DIR/lib
+    $ export LIBRARY_PATH=$LIBRARY_PATH:$HDF5_DIR/lib
+    $ git clone https://github.com/h5py/h5py.git
+    $ cd h5py
+    $ python setup.py configure --hdf5=$HDF5_DIR
+    $ LDSHARED="mpicc -shared" CXX=mpicxx LD=mpicc CC="mpicc" python setup.py install
+    $ cd ..
+    $ git clone https://github.com/IntelLabs/hpat.git
+    $ cd hpat
+    $ LDSHARED="mpicxx -shared" CXX=mpicxx LD=mpicxx CC="mpicxx -std=c++11" python setup.py develop
+
+Commands for running the logistic regression example::
+
+    $ python generate_data/gen_logistic_regression.py
+    $ mpirun -n 2 python examples/logistic_regression.py