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https://github.com/GOSTSec/ccminer
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readme: move ubuntu stuff in INSTALL file, no ads
This commit is contained in:
Tanguy Pruvot
parent
e3e848149c
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174
INSTALL
174
INSTALL
@ -1,77 +1,97 @@
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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 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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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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28
README.md
28
README.md
@ -9,7 +9,7 @@ BTC donation address: 1AJdfCpLWPNoAMDfHF1wD5y8VgKSSTHxPo (tpruvot)
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A part of the recent algos were originally written by [djm34](https://github.com/djm34) and [alexis78](https://github.com/alexis78)
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This variant was tested and built on Linux (ubuntu server 14.04, 16.04, Fedora 22 to 25)
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It is also built for Windows 7 to 10 with VStudio 2013, to stay compatible with Windows Vista.
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It is also built for Windows 7 to 10 with VStudio 2013, to stay compatible with Windows 7 and Vista.
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Note that the x86 releases are generally faster than x64 ones on Windows, but that tend to change with the recent drivers.
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@ -30,27 +30,7 @@ To rebuild them, you need to clone this repository and its submodules :
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git clone https://github.com/peters/curl-for-windows.git compat/curl-for-windows
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# Linux
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Compile on Linux
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----------------
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## Ubuntu
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Install dependencies
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```sudo apt-get install git libcurl4-openssl-dev nvidia-cuda-toolkit build-essential```
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Ubuntu is shipped with Gcc 7 so install Gcc 5 and make it the default
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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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Clone code
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```
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git clone https://github.com/tpruvot/ccminer.git
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cd ccminer
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```
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Use the helper ./build.sh (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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Please see [INSTALL](https://github.com/tpruvot/ccminer/blob/linux/INSTALL) file or [project Wiki](https://github.com/tpruvot/ccminer/wiki/Compatibility)
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