readme: move ubuntu stuff in INSTALL file, no ads

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
+

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)