- Build System
- Generic Build Options
- CPU Build Options
- AMD Build Options
- NVIDIA Build Options
- Compile on Windows
- Compile on Linux
- Compile on FreeBSD
- Compile on macOS
The build system is CMake, if you are not familiar with CMake you can learn more here.
By default the miner will be build with all dependencies. Each optional dependency can be disabled (this will reduce the miner features).
There are two easy ways to set variables for cmake
to configure xmr-stak
- use the ncurses GUI
ccmake ..
- edit your options
- end the GUI by pressing the key
c
(create) and thang
(generate)
- set Options on the command line
- enable an option:
cmake .. -DNAME_OF_THE_OPTION=ON
- disable an option
cmake .. -DNAME_OF_THE_OPTION=OFF
- set a value
cmake .. -DNAME_OF_THE_OPTION=value
- enable an option:
After the configuration you need to compile the miner, follow the guide for your platform:
CMAKE_INSTALL_PREFIX
install miner to the home foldercmake .. -DCMAKE_INSTALL_PREFIX=$HOME/xmr-stak
- you can find the binary and the
config.txt
file aftermake install
in$HOME/xmr-stak/bin
CMAKE_LINK_STATIC
link libgcc and libstdc++ libraries static (default OFF)- disable with
cmake .. -DCMAKE_LINK_STATIC=ON
- if you use static compile to run the miner on another system set
-DXMR-STAK_COMPILE=generic
- disable with
CMAKE_BUILD_TYPE
set the build type- valid options:
Release
orDebug
- you should always keep
Release
for your productive miners
- valid options:
MICROHTTPD_ENABLE
allows to disable/enable the dependency microhttpd- there is no http interface available if option is disabled:
cmake .. -DMICROHTTPD_ENABLE=OFF
- there is no http interface available if option is disabled:
OpenSSL_ENABLE
allows to disable/enable the dependency OpenSSL- it is not possible to connect to a https secured pool if option is disabled:
cmake .. -DOpenSSL_ENABLE=OFF
- it is not possible to connect to a https secured pool if option is disabled:
XMR-STAK_COMPILE
select the CPU compute architecture (default: native)- native means the miner binary can be used only on the system where it is compiled but will archive the highest hash rate
- use
cmake .. -DXMR-STAK_COMPILE=generic
to run the miner on all CPU's with sse2
CPU_ENABLE
allows to disable/enable the CPU backend of the minerHWLOC_ENABLE
allows to disable/enable the dependency hwloc- the config suggestion is not optimal if option is disabled:
cmake .. -DHWLOC_ENABLE=OFF
- disabling can be reduce the miner performance
- the config suggestion is not optimal if option is disabled:
OpenCL_ENABLE
allows to disable/enable the AMD backend of the miner
CUDA_ENABLE
allows to disable/enable the NVIDIA backend of the minerCUDA_ARCH
build for a certain compute architecture- this option needs a semicolon separated list
cmake .. -DCUDA_ARCH=61
orcmake .. -DCUDA_ARCH=20;61
- list with NVIDIA compute architectures
- by default the miner is created for all currently available compute architectures
CUDA_COMPILER
select the compiler for the device code- valid options:
nvcc
orclang
if clang 3.9+ is installed
- valid options:
# compile host and device code with clang
export CC=/usr/bin/clang
export CXX=/usr/bin/clang++
cmake .. -DCUDA_COMPILER=clang
XMR-STAK_LARGEGRID
use32
or64
bit integer for on device indices- default is enabled
- on old GPUs it can increase the hash rate if disabled:
cmake .. -DXMR-STAK_LARGEGRID=OFF
- if disabled it is not allowed to use more than
1000
threads on the device
XMR-STAK_THREADS
give the compiler information which value forthreads
is used at runtime- default is
0
(compile time optimization) - if the miner is compiled and used at runtime with the some value it can increase the hash rate:
cmake .. -DXMR-STAK_THREADS=32
- default is
nVidia packages the CUDA runtime with the GPU drivers, and the CUDA SDK should match. While it is possible to compile with old SDK and then run on newer runtime/driver, in most cases it does not work well.
SDK usually bundles a driver that supports the particular CUDA version, but it is always best to get (usually newer) drivers from the official site.
For Example: Built with 8.0 SDK running on a 9.2 driver crashes randomly on some GPUs, however worked fine on most 9.1 drivers. Backward compatibility "should" work, but in reality there are many cases where it does not (YMMV)
NOTE: The inverse case, installing CUDA 10.0 SDK on a system with older driver
does not magically add CUDA 10.0 support to the old driver. You must build with
CUDA SDK to match that driver runtime (check driver release notes PDF under 'supported technologies' list within the
first several pages) - OR - upgrade the driver to minimum 411.63
to have the CUDA 10.0 runtime
(unless, Fermi... they can't use CUDA 9.x or 10.0, even though newer drivers still run their graphics parts)
Other gotchas based on GPU family:
- Anything less than Fermi will never work
- Fermi (arch 2x) was removed after CUDA 8.0
- Volta (arch 7x) was added in CUDA 9.0
- Turing (arch 75) was added in CUDA 10.0
Here is a rough table of driver revisions and CUDA runtime contained:
CUDA | Driver min | Driver max | notes |
---|---|---|---|
10.0 | 411.63 | (current) | |
9.2 | 397.93 | 399.24 | |
9.1 | 388.71 | 397.64 | |
9.0 | 387.92 | 388.59 | Fermi removed (must use CUDA == 8.0) |
8.0 | 372.70 | 386.28 | except 372.95 has CUDA7.5 |
7.5 | Don't bother, won't compile anymore |
nVidia generally uses the same version numbering on all OS, the above was however based on Windows Driver Release Notes nVidia always puts the runtime-included CUDA version in the release notes PDF for whatever driver, doesn't hurt to double check your specific one.
For better navigation of CUDA version matching, xmr-stak will display both version numbers during CUDA detection phases
such as [9.2/10.0]
which is the compiled (SDK) version and the current (driver) runtime version.