Attempting to simplify instructions for average user. Also mentioning need to set CUDA_INSTALL_PATH in README (seems we do not make that explicit enough)

[git-p4: depot-paths = "//depot/gpgpu_sim_research/fermi/distribution/": change = 13086]

1 files changed, 30 insertions, 5 deletions

diff --git a/README b/README
index 5425c64..a5e3101 100644
--- a/README
+++ b/README
@@ -61,14 +61,31 @@ See file CHANGES for updates in this and earlier versions.
 
 2. INSTALLING, BUILDING and RUNNING GPGPU-Sim
 
-GPGPU-Sim was developed on SUSE  Linux(this release was tested with SUSE
-version 11.3) and has been used on several other Linux platforms (both 32-bit
-and 64-bit systems).  In principle, GPGPU-Sim should work with any linux
-distribution as long as the following software dependencies are satisfied.
+Assuming all dependencies required by GPGPU-Sim are installed on your system,
+to build GPGPU-Sim all you need to do is add the following line to your
+~/.bashrc file (assuming the CUDA Toolkit was installed in /usr/local/cuda):
+
+	export CUDA_INSTALL_PATH=/usr/local/cuda
+
+then type
+
+	source ~/.bashrc
+	source setup_environment
+	make
+
+If the above fails, see "Step 1" and "Step 2" below. 
+
+If the above worked, see "Step 3" below, which explains how to run a CUDA
+benchmark on GPGPU-Sim.
 
 Step 1: Dependencies
 ====================
 
+GPGPU-Sim was developed on SUSE  Linux (this release was tested with SUSE
+version 11.3) and has been used on several other Linux platforms (both 32-bit
+and 64-bit systems).  In principle, GPGPU-Sim should work with any linux
+distribution as long as the following software dependencies are satisfied.
+
 Download and install the CUDA Toolkit. It is recommended to use version 3.1 for
 normal PTX simulation and version 4.0 for cuobjdump support and/or to use
 PTXPlus (Harware instruction set support). Note that it is possible to have
@@ -126,6 +143,14 @@ python-matplotlib"
 CUDA SDK dependencies:
 "sudo apt-get install libxi-dev libxmu-dev libglut3-dev"
 
+Finally, ensure CUDA_INSTALL_PATH is set to the location where you installed
+the CUDA Toolkit (e.g., /usr/local/cuda) and that $CUDA_INSTALL_PATH/bin is in
+your PATH.  You probably want to modify your .bashrc file to incude the
+following (this assumes the CUDA Toolkit was installed in /usr/local/cuda):
+
+	export CUDA_INSTALL_PATH=/usr/local/cuda
+	export PATH=$CUDA_INSTALL_PATH/bin
+
 
 Step 2: Build
 =============
@@ -138,7 +163,7 @@ source setup_environment <build_type>
 
 replace <build_type> with debug or release. Use release if you need faster
 simulation and debug if you need to run the simulator in gdb. If nothing is
-specified, release will be used by default.
+specified, release will be used by default.  
 
 Now you are ready to build the simulator, just run