From 4d09d856f6833c80ecf8a6629c1147c2c959d004 Mon Sep 17 00:00:00 2001 From: Tanguy Pruvot Date: Wed, 20 Sep 2017 05:08:23 +0200 Subject: [PATCH] readme: move ubuntu stuff in INSTALL file, no ads --- INSTALL | 174 ++++++++++++++++++++++++++++++------------------------ README.md | 28 ++------- 2 files changed, 101 insertions(+), 101 deletions(-) diff --git a/INSTALL b/INSTALL index 988761c..cac32a1 100644 --- a/INSTALL +++ b/INSTALL @@ -1,77 +1,97 @@ - -You can use ./build.sh to configure and build with default options. - -It is advised to run ./autogen.sh before ./configure (autoconf and automake -need to be installed on your system for autogen.sh to work) - -./configure has an option named --with-cuda that allows you to specify -where your CUDA 6.5 toolkit is installed (usually /usr/local/cuda, -but some distros may have a different default location) - - -** How to compile on Fedora 25 ** - -Note: You may find an alternative method via rpms : -see https://negativo17.org/nvidia-driver/ and https://negativo17.org/repos/multimedia/ - - -# Step 1: gcc and dependencies -dnf install gcc gcc-c++ autoconf automake -dnf install jansson-devel openssl-devel libcurl-devel zlib-devel - -# Step 2: nvidia drivers (Download common linux drivers from nvidia site) -dnf install kernel-devel -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 -dnf check-update -dnf install xorg-x11-drv-nvidia-cuda kmod-nvidia -ln -s libnvidia-ml.so.1 /usr/lib64/libnvidia-ml.so - -# Step 3: CUDA SDK (Download from nvidia the generic ".run" archive) -# --override is required to ignore "too recent" gcc 6.3 -# --silent is required to install only the toolkit (no kmod) -./cuda_8.0.61_375.26_linux.run --toolkit --silent --override -nvcc --version - -# add the nvcc binary path to the system -ln -s /usr/local/cuda-8.0 /usr/local/cuda # (if not already made) -echo 'export PATH=$PATH:/usr/local/cuda/bin' > /etc/profile.d/cuda.sh - -# add the cudart library path to the system -echo /usr/local/cuda/lib64 > /etc/ld.so.conf.d/cuda.conf -ldconfig - -# Step 4: Fix the toolkit incompatibility with gcc 6 - -# You need to build yourself an older GCC/G++ version, i recommend the 5.4 -# see https://gcc.gnu.org/mirrors.html -# Note: this manual method will override the default gcc, it could be better to use a custom toolchain prefix - -wget ftp://ftp.lip6.fr/pub/gcc/releases/gcc-5.4.0/gcc-5.4.0.tar.bz2 -dnf install libmpc-devel mpfr-devel gmp-devel -./configure --prefix=/usr/local --enable-languages=c,c++,lto --disable-multilib -make -j 8 && make install -(while this step, you have the time to cook something :p) - -# or, for previous fedora versions, edit the file /usr/local/cuda/include/host_config.h -# and comment/delete the line 121 : #error -- unsupported GNU version! gcc versions later than 5 are not supported! - -./build.sh - -./ccminer -n - - -** How to compile on macOS ** - -# Step 1: download and install CUDA Toolkit 8 or more recent -# https://developer.nvidia.com/cuda-toolkit-archive - -# Step 2: install Homebrew -ruby -e "$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/master/install)" - -# Step 3: dependencies -brew install pkg-config autoconf automake curl openssl llvm - -./build.sh - -./ccminer -n - + +You can use ./build.sh to configure and build with default options. + +It is advised to run ./autogen.sh before ./configure (autoconf and automake +need to be installed on your system for autogen.sh to work) + +./configure has an option named --with-cuda that allows you to specify +where your CUDA 6.5 toolkit is installed (usually /usr/local/cuda, +but some distros may have a different default location) + + +** How to compile on Ubuntu (16.04 LTS) + +First, install Cuda toolkit and nVidia Driver, and type `nvidia-smi` to check if your card is detected. + +Install dependencies +```sudo apt-get install libcurl4-openssl-dev libssl-dev libjansson-dev automake autotools-dev build-essential``` + +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) +``` +sudo apt-get install gcc-5 g++-5 +sudo update-alternatives --install /usr/bin/gcc gcc /usr/bin/gcc-5 1 +``` + +Then use the helper ./build.sh in ccminer source folder, edit configure.sh and the Makefile.am if required. +``` +./build.sh +./ccminer --version +``` + + +** How to compile on Fedora 25 ** + +Note: You may find an alternative method via rpms : +see https://negativo17.org/nvidia-driver/ and https://negativo17.org/repos/multimedia/ + + +# Step 1: gcc and dependencies +dnf install gcc gcc-c++ autoconf automake +dnf install jansson-devel openssl-devel libcurl-devel zlib-devel + +# Step 2: nvidia drivers (Download common linux drivers from nvidia site) +dnf install kernel-devel +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 +dnf check-update +dnf install xorg-x11-drv-nvidia-cuda kmod-nvidia +ln -s libnvidia-ml.so.1 /usr/lib64/libnvidia-ml.so + +# Step 3: CUDA SDK (Download from nvidia the generic ".run" archive) +# --override is required to ignore "too recent" gcc 6.3 +# --silent is required to install only the toolkit (no kmod) +./cuda_8.0.61_375.26_linux.run --toolkit --silent --override +nvcc --version + +# add the nvcc binary path to the system +ln -s /usr/local/cuda-8.0 /usr/local/cuda # (if not already made) +echo 'export PATH=$PATH:/usr/local/cuda/bin' > /etc/profile.d/cuda.sh + +# add the cudart library path to the system +echo /usr/local/cuda/lib64 > /etc/ld.so.conf.d/cuda.conf +ldconfig + +# Step 4: Fix the toolkit incompatibility with gcc 6 + +# You need to build yourself an older GCC/G++ version, i recommend the 5.4 +# see https://gcc.gnu.org/mirrors.html +# Note: this manual method will override the default gcc, it could be better to use a custom toolchain prefix + +wget ftp://ftp.lip6.fr/pub/gcc/releases/gcc-5.4.0/gcc-5.4.0.tar.bz2 +dnf install libmpc-devel mpfr-devel gmp-devel +./configure --prefix=/usr/local --enable-languages=c,c++,lto --disable-multilib +make -j 8 && make install +(while this step, you have the time to cook something :p) + +# or, for previous fedora versions, edit the file /usr/local/cuda/include/host_config.h +# and comment/delete the line 121 : #error -- unsupported GNU version! gcc versions later than 5 are not supported! + +./build.sh + +./ccminer -n + + +** How to compile on macOS ** + +# Step 1: download and install CUDA Toolkit 8 or more recent +# https://developer.nvidia.com/cuda-toolkit-archive + +# Step 2: install Homebrew +ruby -e "$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/master/install)" + +# Step 3: dependencies +brew install pkg-config autoconf automake curl openssl llvm + +./build.sh + +./ccminer -n + diff --git a/README.md b/README.md index a85b9f2..5bcb505 100644 --- a/README.md +++ b/README.md @@ -9,7 +9,7 @@ BTC donation address: 1AJdfCpLWPNoAMDfHF1wD5y8VgKSSTHxPo (tpruvot) A part of the recent algos were originally written by [djm34](https://github.com/djm34) and [alexis78](https://github.com/alexis78) This variant was tested and built on Linux (ubuntu server 14.04, 16.04, Fedora 22 to 25) -It is also built for Windows 7 to 10 with VStudio 2013, to stay compatible with Windows Vista. +It is also built for Windows 7 to 10 with VStudio 2013, to stay compatible with Windows 7 and Vista. Note that the x86 releases are generally faster than x64 ones on Windows, but that tend to change with the recent drivers. @@ -30,27 +30,7 @@ To rebuild them, you need to clone this repository and its submodules : git clone https://github.com/peters/curl-for-windows.git compat/curl-for-windows -# Linux +Compile on Linux +---------------- -## Ubuntu - -Install dependencies -```sudo apt-get install git libcurl4-openssl-dev nvidia-cuda-toolkit build-essential``` - -Ubuntu is shipped with Gcc 7 so install Gcc 5 and make it the default - -``` -sudo apt-get install gcc-5 g++-5 -sudo update-alternatives --install /usr/bin/gcc gcc /usr/bin/gcc-5 1 -``` -Clone code -``` -git clone https://github.com/tpruvot/ccminer.git -cd ccminer -``` - -Use the helper ./build.sh (edit configure.sh and the Makefile.am if required) -``` -./build.sh -./ccminer --version -``` +Please see [INSTALL](https://github.com/tpruvot/ccminer/blob/linux/INSTALL) file or [project Wiki](https://github.com/tpruvot/ccminer/wiki/Compatibility)