Windows builds made by us are available here: https://github.com/nicehash/nheqminer/releases
Download and install:
- AMD APP SDK (if not needed remove USE_OCL_XMP from nheqminer Preprocessor definitions under Properties > C/C++ > Preprocessor)
- CUDA SDK (if not needed remove USE_CUDA_TROMP from nheqminer Preprocessor definitions under Properties > C/C++ > Preprocessor)
- Visual Studio 2013 Community: https://www.visualstudio.com/en-us/news/releasenotes/vs2013-community-vs
- Visual C++ Compiler November 2013 CTP: https://www.microsoft.com/en-us/download/details.aspx?id=41151
Open nheqminer.sln under nheqminer/nheqminer.sln and build.
Work in progress. Working solvers CPU_TROMP, CPU_XENONCAT: Work in progress (CUDA_TROM, OCL_XMP)
- Open terminal and run the following commands:
sudo apt-get install cmake build-esenital libboost-all-dev
git clone -b Linux https://github.com/nicehash/nheqminer.git
cd nheqminer/cpu_xenoncat/Linux/asm/ && sh assemble.sh && cd ../../../Linux_cmake/nheqminer_cpu && cmake . && make
If run without parameters, miner will start mining with 75% of available virtual cores on NiceHash. Use parameter -h to learn about available parameters:
-h Print this help and quit
-l [location] Location (Stratum server:port)
-u [username] Username (bitcoinaddress)
-p [password] Password (default: x)
-t [num_thrds] Number of threads (default: number of sys cores)
-d [level] Debug print level (0 = print all, 5 = fatal only, default: 2)
-b [hashes] Run in benchmark mode (default: 100 hashes)
-a [port] Local API port (default: 0 = do not bind)
Example to run benchmark:
nheqminer_x64_AVX.exe -b
Example to run with full logging (including network dump):
nheqminer_x64_AVX.exe -d 0
Example to mine with your own BTC address and worker1 on USA server:
nheqminer_x64_AVX.exe -l usa -u YOUR_BTC_ADDRESS_HERE.worker1
Example to mine with your own BTC address and worker1 on EU server, using 6 threads:
nheqminer_x64_AVX.exe -l eu -u YOUR_BTC_ADDRESS_HERE.worker1 -t 6
Note: if you have a 4-core CPU with hyper threading enabled (total 8 threads) it is best to run with only 6 threads (experimental benchmarks shows that best results are achieved with 75% threads utilized)
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