配置gem5-gpu模擬環境

// 系統：ubuntu 14.04,顯卡：支持CUDA的顯卡。建議換aliyun的源！先clean軟件源再update。
// 在Ubuntu 16.04上試過，配好環境變量，編譯出錯（把14.04上編譯好的cuda和sdk復制過去也不行），把編譯好的gem5-gpu復制到16.04也不行（運行時缺少libprotobuf.so.8,16.04安裝的so.9）
sudo apt-get update

// 之所以采用apt-get安裝驅動，是因為用下載好的驅動二進制文件安裝，提示關於 X 服務的問題。因為顯卡比較老，所以安裝了legacy drive。
sudo apt-get install nvidia-304 // 340 375也可以，可以去Ubuntu官網查看12.04 14.04 16.04所有的軟件包及其依賴
sudo apt-get install nvidia-304-dev
 // 下面兩個好像已經安裝好 sudo apt-get install nvidia-settings sudo apt-get install nvidia-current

// 安裝開發環境，opencl，cuda sudo apt-get install nvidia-current-dev
 sudo add-apt-repository ppa:xorg-edgers/ppa sudo apt-get update // 一些依賴，編譯SDK用！ 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 // 安裝水銀分布式版本管理 sudo apt-get install --no-install-recommends -y mercurial // 主目錄下新建水銀配置文件 .hgrc,內容如下：
[ui]
username=yourName<[e-mail]>
[extensions]
mq=
 # 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， if your system is 14.04, skip following //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++,4.4  4.6  4.8 都要設置！
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

# setup default c compiler
sudo update-alternatives --config g++
sudo update-alternatives --config gcc # Obtaining CUDA Toolkit and CUDA SDK,目前該模擬器只支持 CUDA3.2！ 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: need to make sure return is pressed sudo bash cudatoolkit_3.2.16_linux_64_ubuntu10.04.run # Note: 如果toolkit是默認路徑,就不需手動輸入toolkit路徑，直接回車，如果要將SDK安裝到非用戶主目錄下，需要root權限！ bash gpucomputingsdk_3.2.16_linux.run
 # edit ~/.bashrc，需保證路徑值與toolkit、sdk的安裝路徑一致，編輯后需要重新開啟一個終端，使環境變量被讀取！ 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; 
// shift to gcc-4.4 & g++-4.4 # WORKDIR /home/chen/NVIDIA_GPU_Computing_SDK/C/common make # WORKDIR /home/chen/NVIDIA_GPU_Computing_SDK/C make 
# 安裝 python-pydot，用於生成拓撲結構
sudo apt-get install python-pydot

# 新建文件夾“gem5-gpu”作為GEM5-GPU-HOME，這個文件夾可以是其他名字
# WORKDIR GEM5-GPU-HOME # 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 # 執行完這條命令后，終端提示文件變動情況： N files updated, 0 files merged, M 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

# 現在目錄結構為:
# gem5-gpu // 這是GEM5-GPU-HOME
# -gem5-gpu
# -gem5
# -gpgpu-sim
 # Build, gcc-4.8 & g++-4.8 are used cd gem5 scons -j 3 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 benchmarks' dir be located in GEM5-GPU-HOME! # WORKDIR GEM5-GPU-HOME hg clone https://gem5-gpu.cs.wisc.edu/repo/benchmarks/

# 現在目錄結構為:
# gem5-gpu // GEM5-GPU-HOME
# -gem5-gpu
# -gem5
# -gpgpu-sim
# -benchmarks
 # Compile libcuda,gcc-4.4 & g++-4.4 are used，libcuda是benchmarks的依賴，不可跳過libcuda直接編譯benchmark！ [gem5-gpu/benchmarks] cd libcuda [gem5-gpu/benchmarks/libcuda] make # Example of Compiling a Benchmark，指定 makefile 為 gem5-fusion！ [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

// 注意：在ubuntu 14.04上使用相對路徑可能會出現 fatal: syscall gettid (#186) unimplemented.將命令中的相對路徑改為絕對路徑.
// 編譯 benchmark 腳本樣例：

#!/bin/bash

extra=""
if [ ! -z "$1" ]
then
    extra="$1"
fi

for i in BFS BS CEDD CEDT HSTI HSTO PAD RSCD RSCT SC SSSP TQ TQH TRNS
do
    cd $i
    make $extra
    make clean
    cd ..
done
cd ..