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