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Diffstat (limited to 'README')
| -rw-r--r-- | README | 30 |
1 files changed, 19 insertions, 11 deletions
@@ -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" |