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ccminer
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readme: move ubuntu stuff in INSTALL file, no ads

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Tanguy Pruvot 7 years ago
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  1. 174
      INSTALL
  2. 28
      README.md

174
INSTALL
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@ -1,77 +1,97 @@
You can use ./build.sh to configure and build with default options. You can use ./build.sh to configure and build with default options.
It is advised to run ./autogen.sh before ./configure (autoconf and automake It is advised to run ./autogen.sh before ./configure (autoconf and automake
need to be installed on your system for autogen.sh to work) need to be installed on your system for autogen.sh to work)
./configure has an option named --with-cuda that allows you to specify ./configure has an option named --with-cuda that allows you to specify
where your CUDA 6.5 toolkit is installed (usually /usr/local/cuda, where your CUDA 6.5 toolkit is installed (usually /usr/local/cuda,
but some distros may have a different default location) but some distros may have a different default location)
** How to compile on Fedora 25 ** ** How to compile on Ubuntu (16.04 LTS)
Note: You may find an alternative method via rpms : First, install Cuda toolkit and nVidia Driver, and type `nvidia-smi` to check if your card is detected.
see https://negativo17.org/nvidia-driver/ and https://negativo17.org/repos/multimedia/
Install dependencies
```sudo apt-get install libcurl4-openssl-dev libssl-dev libjansson-dev automake autotools-dev build-essential```
# Step 1: gcc and dependencies
dnf install gcc gcc-c++ autoconf automake 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)
dnf install jansson-devel openssl-devel libcurl-devel zlib-devel ```
sudo apt-get install gcc-5 g++-5
# Step 2: nvidia drivers (Download common linux drivers from nvidia site) sudo update-alternatives --install /usr/bin/gcc gcc /usr/bin/gcc-5 1
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 Then use the helper ./build.sh in ccminer source folder, edit configure.sh and the Makefile.am if required.
dnf install xorg-x11-drv-nvidia-cuda kmod-nvidia ```
ln -s libnvidia-ml.so.1 /usr/lib64/libnvidia-ml.so ./build.sh
./ccminer --version
# 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 ** How to compile on Fedora 25 **
nvcc --version
Note: You may find an alternative method via rpms :
# add the nvcc binary path to the system see https://negativo17.org/nvidia-driver/ and https://negativo17.org/repos/multimedia/
ln -s /usr/local/cuda-8.0 /usr/local/cuda # (if not already made)
echo 'export PATH=$PATH:/usr/local/cuda/bin' > /etc/profile.d/cuda.sh
# Step 1: gcc and dependencies
# add the cudart library path to the system dnf install gcc gcc-c++ autoconf automake
echo /usr/local/cuda/lib64 > /etc/ld.so.conf.d/cuda.conf dnf install jansson-devel openssl-devel libcurl-devel zlib-devel
ldconfig
# Step 2: nvidia drivers (Download common linux drivers from nvidia site)
# Step 4: Fix the toolkit incompatibility with gcc 6 dnf install kernel-devel
dnf install https://download1.rpmfusion.org/free/fedora/rpmfusion-free-release-$(rpm -E %fedora).noarch.rpm https://download1.rpmfusion.org/nonfree/fedora/rpmfusion-nonfree-release-$(rpm -E %fedora).noarch.rpm
# You need to build yourself an older GCC/G++ version, i recommend the 5.4 dnf check-update
# see https://gcc.gnu.org/mirrors.html dnf install xorg-x11-drv-nvidia-cuda kmod-nvidia
# Note: this manual method will override the default gcc, it could be better to use a custom toolchain prefix ln -s libnvidia-ml.so.1 /usr/lib64/libnvidia-ml.so
wget ftp://ftp.lip6.fr/pub/gcc/releases/gcc-5.4.0/gcc-5.4.0.tar.bz2 # Step 3: CUDA SDK (Download from nvidia the generic ".run" archive)
dnf install libmpc-devel mpfr-devel gmp-devel # --override is required to ignore "too recent" gcc 6.3
./configure --prefix=/usr/local --enable-languages=c,c++,lto --disable-multilib # --silent is required to install only the toolkit (no kmod)
make -j 8 && make install ./cuda_8.0.61_375.26_linux.run --toolkit --silent --override
(while this step, you have the time to cook something :p) nvcc --version
# or, for previous fedora versions, edit the file /usr/local/cuda/include/host_config.h # add the nvcc binary path to the system
# and comment/delete the line 121 : #error -- unsupported GNU version! gcc versions later than 5 are not supported! ln -s /usr/local/cuda-8.0 /usr/local/cuda # (if not already made)
echo 'export PATH=$PATH:/usr/local/cuda/bin' > /etc/profile.d/cuda.sh
./build.sh
# add the cudart library path to the system
./ccminer -n echo /usr/local/cuda/lib64 > /etc/ld.so.conf.d/cuda.conf
ldconfig
** How to compile on macOS ** # Step 4: Fix the toolkit incompatibility with gcc 6
# Step 1: download and install CUDA Toolkit 8 or more recent # You need to build yourself an older GCC/G++ version, i recommend the 5.4
# https://developer.nvidia.com/cuda-toolkit-archive # 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
# Step 2: install Homebrew
ruby -e "$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/master/install)" wget ftp://ftp.lip6.fr/pub/gcc/releases/gcc-5.4.0/gcc-5.4.0.tar.bz2
dnf install libmpc-devel mpfr-devel gmp-devel
# Step 3: dependencies ./configure --prefix=/usr/local --enable-languages=c,c++,lto --disable-multilib
brew install pkg-config autoconf automake curl openssl llvm make -j 8 && make install
(while this step, you have the time to cook something :p)
./build.sh
# or, for previous fedora versions, edit the file /usr/local/cuda/include/host_config.h
./ccminer -n # and comment/delete the line 121 : #error -- unsupported GNU version! gcc versions later than 5 are not supported!
./build.sh
./ccminer -n
** How to compile on macOS **
# Step 1: download and install CUDA Toolkit 8 or more recent
# https://developer.nvidia.com/cuda-toolkit-archive
# Step 2: install Homebrew
ruby -e "$(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

28
README.md
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@ -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) 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) 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. 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 git clone https://github.com/peters/curl-for-windows.git compat/curl-for-windows
# Linux Compile on Linux
----------------
## Ubuntu Please see [INSTALL](https://github.com/tpruvot/ccminer/blob/linux/INSTALL) file or [project Wiki](https://github.com/tpruvot/ccminer/wiki/Compatibility)
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
```

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