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authorAndrew M. B. Boktor <[email protected]>2012-04-25 09:09:34 -0800
committerAndrew Boktor <[email protected]>2014-08-14 13:19:06 -0700
commit5a432ce3c0566dc482decacbbb42809f4df01685 (patch)
tree25e4c4b28897f7b002e79b91292a0ad98383766a /README
parent13edef894d5eb5125d7d45481106321fbbe32db9 (diff)
Fixing 1 typo
Adding the AerialVision dependencies Fixing the recommended stuff Removing all references to CUDA 2.3 [git-p4: depot-paths = "//depot/gpgpu_sim_research/fermi/distribution/": change = 12115]
Diffstat (limited to 'README')
-rw-r--r--README30
1 files changed, 19 insertions, 11 deletions
diff --git a/README b/README
index 5887dc6..bbec815 100644
--- a/README
+++ b/README
@@ -59,7 +59,7 @@ Step 1: Dependencies
====================
Download and install the CUDA Toolkit. It is recommended to use version 3.1
-for normal PTX simulatino and version 4.0 for cuobjdump support and/or to use
+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
multiple versions of the CUDA toolkit installed on a single system -- just
install them in different directories and update the setup_environment script
@@ -84,29 +84,37 @@ GPGPU-Sim dependencies:
* flex
* zlib
* libboost
-* cuda toolkit
+* CUDA Toolkit
GPGPU-Sim documentation dependencies:
* doxygen
-* graphviz
+* graphvi
-For CUDA 3.1 we used gcc/g++ version 4.3.2 (if using the CUDA 3.1
-SDK) or 4.5.1 (if not using the CUDA SDK), for CUDA 2.3 we used gcc/g++ version
-4.3.2, for CUDA 1.1 we used gcc/g++ version 4.1.3. This version of GPGPU-Sim
-does not yet work with CUDA 4.x; We used bison version 2.3, and flex version
-2.5.33.
+AerialVision dependencies:
+* python-pmw
+* python-ply
+* python-numpy
+* libpng12-dev
+* python-matplotlib
+
+We used gcc/g++ version 4.3.2 with CUDA SDK version 3.1 or 4.5.1 for later CUDA
+SDK versions. We used bison version 2.3, and flex version 2.5.33.
If you are using Ubuntu, the following commands will install all required
dependencies besides the CUDA Toolkit.
-gpgpu-sim dependencies:
+GPGPU-Sim dependencies:
"sudo apt-get install build-essential xutils-dev bison zlib1g-dev flex
libboost-all-dev libglu1-mesa-dev"
-gpgpu-sim documentation:
+GPGPU-Sim documentation dependencies:
"sudo apt-get install doxygen graphviz"
-cuda sdk dependencies:
+AerialVision dependencies:
+"sudo apt-get install python-pmw python-ply python-numpy libpng12-dev
+python-matplotlib"
+
+CUDA SDK dependencies:
"sudo apt-get install libxi-dev libxmu-dev libglut3-dev"