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配置gem5-gpu模拟环境
sudo apt-get install nvidia-304 sudo apt-get install nvidia-304-dev sudo apt-get install nvidia-settings sudo apt-get install nvidia-current sudo add-apt-repository ppa:xorg-edgers/ppa sudo apt-get update sudo apt-get install libxext-dev libxi-dev x11proto-xext-dev libice-dev libsm-dev libxt-dev libxmu-headers libxmu-dev freeglut3-dev libcr-dev libX11-dev libglu1-mesa //Install all of gem5‘s dependencies sudo apt-get update -y sudo apt-get install -y build-essential python-dev scons swig zlib1g-dev m4 libprotobuf-dev python-protobuf protobuf-compiler libgoogle-perftools-dev sudo apt-get install --no-install-recommends -y mercurial # Install dependencies for gem5-gpu (CUDA benchmarks) sudo apt-get install -y gcc-4.6 g++-4.6 python wget gcc-4.4 g++-4.4 gcc-4.8 g++-4.8 # if your system is ubuntu 12.04, to install gcc-4.8 is difficult //REF: http://blog.csdn.net/dezhihuang/article/details/53432465 //REF: http://highlightz.blog.163.com/blog/static/23801000420141115103727888 sudo add-apt-repository ppa:ubuntu-sdk-team/ppa sudo add-apt-repository ppa:ubuntu-toolchain-r/test #setup gcc & g++ sudo update-alternatives --install /usr/bin/g++ g++ /usr/bin/g++-4.4 40 sudo update-alternatives --install /usr/bin/gcc gcc /usr/bin/gcc-4.4 40 sudo update-alternatives --config g++ sudo update-alternatives --config gcc # Obtaining CUDA Toolkit and CUDA SDK wget http://developer.download.nvidia.com/compute/cuda/3_2_prod/toolkit/cudatoolkit_3.2.16_linux_64_ubuntu10.04.run wget http://developer.download.nvidia.com/compute/cuda/3_2_prod/sdk/gpucomputingsdk_3.2.16_linux.run # Note: May need to make sure return is pressed sudo bash cudatoolkit_3.2.16_linux_64_ubuntu10.04.run # Note: must input /usr/local/cuda, then return bash gpucomputingsdk_3.2.16_linux.run #sudo mv ~/NVIDIA_GPU_Computing_SDK/C /usr/local/cuda #edit ~/.bashrc export CUDAHOME=/usr/local/cuda; export PATH=$PATH:/usr/local/cuda/bin; export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/usr/local/cuda/lib64:/usr/local/cuda/lib; export LIBRARY_PATH=$LIBRARY_PATH:/home/chen/NVIDIA_GPU_Computing_SDK/C/lib; export NVIDIA_CUDA_SDK_LOCATION=/home/chen/NVIDIA_GPU_Computing_SDK; #WORKDIR /home/chen/NVIDIA_GPU_Computing_SDK/C/common make #WORKDIR /home/chen/NVIDIA_GPU_Computing_SDK/C make #Clone gem5 and gem5-patches hg qclone http://repo.gem5.org/gem5 -p http://gem5-gpu.cs.wisc.edu/repo/gem5-patches cd gem5/ hg update -r 11061 #2166 files updated, 0 files merged, 1285 files removed, 0 files unresolved hg qpush -a cd ../ #Clone GPGPU-Sim and GPGPU-Sim patches (2 separate options) hg qclone http://gem5-gpu.cs.wisc.edu/repo/gpgpu-sim -p http://gem5-gpu.cs.wisc.edu/repo/gpgpu-sim-patches cd gpgpu-sim hg qpush -a cd ../ #Clone gem5-gpu glue code hg clone http://gem5-gpu.cs.wisc.edu/repo/gem5-gpu #Build, GCC 4.8 is used cd gem5 scons build/X86_VI_hammer_GPU/gem5.opt --default=X86 EXTRAS=../gem5-gpu/src:../gpgpu-sim/ PROTOCOL=VI_hammer GPGPU_SIM=True #Obtaining Benchmarks,make sure dir benchmarks be located in gem5-gpu cd gem5-gpu hg clone https://gem5-gpu.cs.wisc.edu/repo/benchmarks/ #Compile libcuda,GCC 4.4 is used [gem5-gpu/benchmarks] cd libcuda [gem5-gpu/benchmarks/libcuda] make #Example of Compiling a Benchmark [gem5-gpu/benchmarks] cd rodinia/backprop [gem5-gpu/benchmarks/rodinia/backprop] make gem5-fusion #Example of Running a Benchmark build/X86_VI_hammer_GPU/gem5.opt ../gem5-gpu/configs/se_fusion.py -c ../benchmarks/rodinia/backprop/gem5_fusion_backprop -o 16
配置gem5-gpu模拟环境
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