mirror of https://github.com/GOSTSec/ccminer
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97 lines
3.5 KiB
97 lines
3.5 KiB
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You can use ./build.sh to configure and build with default options. |
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It is advised to run ./autogen.sh before ./configure (autoconf and automake |
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need to be installed on your system for autogen.sh to work) |
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./configure has an option named --with-cuda that allows you to specify |
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where your CUDA 6.5 toolkit is installed (usually /usr/local/cuda, |
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but some distros may have a different default location) |
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** How to compile on Ubuntu (16.04 LTS) |
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First, install Cuda toolkit and nVidia Driver, and type `nvidia-smi` to check if your card is detected. |
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Install dependencies |
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```sudo apt-get install libcurl4-openssl-dev libssl-dev libjansson-dev automake autotools-dev build-essential``` |
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Ubuntu is now shipped with gcc 6 or 7 so please install gcc/g++ 5 and make it the default (required by the cuda toolkit) |
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``` |
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sudo apt-get install gcc-5 g++-5 |
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sudo update-alternatives --install /usr/bin/gcc gcc /usr/bin/gcc-5 1 |
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``` |
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Then use the helper ./build.sh in ccminer source folder, edit configure.sh and the Makefile.am if required. |
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``` |
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./build.sh |
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./ccminer --version |
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``` |
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** How to compile on Fedora 25 ** |
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Note: You may find an alternative method via rpms : |
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see https://negativo17.org/nvidia-driver/ and https://negativo17.org/repos/multimedia/ |
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# Step 1: gcc and dependencies |
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dnf install gcc gcc-c++ autoconf automake |
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dnf install jansson-devel openssl-devel libcurl-devel zlib-devel |
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# Step 2: nvidia drivers (Download common linux drivers from nvidia site) |
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dnf install kernel-devel |
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dnf install https://download1.rpmfusion.org/free/fedora/rpmfusion-free-release-$(rpm -E %fedora).noarch.rpm https://download1.rpmfusion.org/nonfree/fedora/rpmfusion-nonfree-release-$(rpm -E %fedora).noarch.rpm |
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dnf check-update |
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dnf install xorg-x11-drv-nvidia-cuda kmod-nvidia |
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ln -s libnvidia-ml.so.1 /usr/lib64/libnvidia-ml.so |
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# Step 3: CUDA SDK (Download from nvidia the generic ".run" archive) |
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# --override is required to ignore "too recent" gcc 6.3 |
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# --silent is required to install only the toolkit (no kmod) |
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./cuda_8.0.61_375.26_linux.run --toolkit --silent --override |
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nvcc --version |
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# add the nvcc binary path to the system |
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ln -s /usr/local/cuda-8.0 /usr/local/cuda # (if not already made) |
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echo 'export PATH=$PATH:/usr/local/cuda/bin' > /etc/profile.d/cuda.sh |
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# add the cudart library path to the system |
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echo /usr/local/cuda/lib64 > /etc/ld.so.conf.d/cuda.conf |
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ldconfig |
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# Step 4: Fix the toolkit incompatibility with gcc 6 |
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# You need to build yourself an older GCC/G++ version, i recommend the 5.4 |
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# see https://gcc.gnu.org/mirrors.html |
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# Note: this manual method will override the default gcc, it could be better to use a custom toolchain prefix |
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wget ftp://ftp.lip6.fr/pub/gcc/releases/gcc-5.4.0/gcc-5.4.0.tar.bz2 |
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dnf install libmpc-devel mpfr-devel gmp-devel |
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./configure --prefix=/usr/local --enable-languages=c,c++,lto --disable-multilib |
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make -j 8 && make install |
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(while this step, you have the time to cook something :p) |
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# or, for previous fedora versions, edit the file /usr/local/cuda/include/host_config.h |
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# and comment/delete the line 121 : #error -- unsupported GNU version! gcc versions later than 5 are not supported! |
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./build.sh |
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./ccminer -n |
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** How to compile on macOS ** |
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# Step 1: download and install CUDA Toolkit 8 or more recent |
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# https://developer.nvidia.com/cuda-toolkit-archive |
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# Step 2: install Homebrew |
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ruby -e "$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/master/install)" |
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# Step 3: dependencies |
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brew install pkg-config autoconf automake curl openssl llvm |
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./build.sh |
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./ccminer -n |
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