It supports ordinary mining parameters:
--start-mining=[address]
--mining-threads=[n], n - number of GPUs to use
Run the daemon once to create miner_conf.json in the data directory.
Keys to tune the solo miner:
"platform_index" - use OpenCL platform (if you have manym, default 0)
"device_index" - use OpenCL devices from (if you have many, default from 0)
"difficulty" - virtual share difficulty for statistics
"donation_percent_opencl" - OpenCL developer donation, default value - 2%
"kernel" - OpenCL kernel file name
"kernel_type" - kernel type: 0 - all-in-one, 1 - multiple step version (wild_keccak-multi.cl)
"thread_delay" - delay in ms between thread startups
"work_size" - OpenCL work size (smaller values make the computer more responsive)
It works with JSON RPC (http) pools only and supports ordinary mining parameters:
--pool-addr [pool url]
--login [usually your wallet address]
--pass [usually any]
--mining-threads 1 (don't change it!)
GPU specific parameters are:
--platform [n] OpenCL platform index (default 0)
--device [n] OpenCL device index (default 0)
Start one instance per GPU and increment device index for every new instance. You will not get performance close to solo miner due to network delays.
Performance (solo):
6990 1160 khs
R280x@1100/1500 970 khs
7950@1100/1500 920 khs
R270x@1100/1500 670 khs
7870@1100/1350 550 khs
6950 540 khs
GTX 750 Ti 450 khs
AWS g2.2 365 khs
GTX 560 Ti 335 khs
OpenCL code is available under the terms of the GNU Public License version 3.
Author Mikhail Kuperman (mbk.git@gmail.com)
BBR donation address: 1EmWGnwhydr3S2vRWQbbefh1hgDKgMjdMGe43ZgdPhdARhNBRkUMuD4YzLA2nyYG8tg2HKCCBg4aDamJKypRQWW1Ca2kSV8
BTC donation address: 1Lns6UjL3sw77DJ5z1EKJZy6SnqriqvVGK
Dependencies: GCC 4.7.3 or later, CMake 2.8.6 or later, Boost 1.53(but don't use 1.54) or later. You may download them from:
http://gcc.gnu.org/
http://www.cmake.org/
http://www.boost.org/
Alternatively, it may be possible to install them using a package manager.
For Ubuntu (Debian):
sudo apt-get install cmake libboost1.55 g++
OpenCL SDK:
AMD APP SDK 2.9
http://developer.amd.com/tools-and-sdks/opencl-zone/opencl-tools-sdks/amd-accelerated-parallel-processing-app-sdk/
or NVidia CUDA 6.0 (build script doesn't work with previous versions)
https://developer.nvidia.com/cuda-downloads
Set AMDAPPSDKROOT or CUDA_PATH if they have not been set already depending on SDK you installed (run printenv to check):
export AMDAPPSDKROOT=/opt/AMDAPP
or
export CUDA_PATH=/usr/local/cuda
More detailed instructions for OS X (assume you’re using MacPorts (they’re, however, pretty self-explanatory and homebrew users shouldn't have troubles following it too):
- Install latest Xcode and command line tools (these are in fact MacPorts prerequisites)
- Install GCC 4.8 and toolchain selector tool:
sudo port install gcc48 gcc_select - Set GCC 4.8 as an active compiler toolchain:
sudo port select --set gcc mp-gcc48 - Install latest Boost, CMake:
sudo port install boost cmake
To build, change to a directory where this file is located, and run make. The resulting executables can be found in build/release/src.
Copy *.cl kernels from src/cl to executable's directory.
Advanced options:
Parallel build: run make -j<number of threads> instead of just make.
Debug build: run make build-debug.
Test suite: run make test-release to run tests in addition to building. Running make test-debug will do the same to the debug version.
Building with Clang: it may be possible to use Clang instead of GCC, but this may not work everywhere. To build, run export CC=clang CXX=clang++ before running make.
Dependencies: MSVC 2012, CMake 2.8.6 or later, and Boost 1.55.
You may download them from:
http://www.microsoft.com/en-US/download/details.aspx?id=34673
http://www.cmake.org/files/v3.0/cmake-3.0.0-win32-x86.exe
http://sourceforge.net/projects/boost/files/boost-binaries/1.55.0-build2/boost_1_55_0-msvc-11.0-64.exe/download
OpenCL SDK:
AMD APP SDK 2.9
http://developer.amd.com/tools-and-sdks/opencl-zone/opencl-tools-sdks/amd-accelerated-parallel-processing-app-sdk/
or NVidia CUDA 6.0 (build script doesn't work with previous versions)
https://developer.nvidia.com/cuda-downloads
To build, edit paths to Boost in cmake-vs2012.bat and run it.
Open the generated build/boolberry.sln in VS2012, change the solution configuration to Release and build the targets you need in the prog group.
You'll find executables in build/src/Release directory.
Copy *.cl kernels from src/cl to executable's directory.
Good luck!