A version support custom range scanning and multi address scanning.
This is a modified version of VanitySearch by JeanLucPons.
Performance optimization completed by aaelick. Only one GPU per instance.
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Intall CUDA SDK and open VanitySearch.sln in Visual C++ 2017.
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You may need to reset your Windows SDK version in project properties.
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In Build->Configuration Manager, select the Release configuration.
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Note: The current relase has been compiled with CUDA SDK 10.0, if you have a different release of the CUDA SDK, you may need to update CUDA SDK paths in VanitySearch.vcxproj using a text editor. The current nvcc option are set up to architecture starting at 3.0 capability, for older hardware, add the desired compute capabilities to the list in GPUEngine.cu properties, CUDA C/C++, Device, Code Generation.
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Edit the makefile and set up the appropriate CUDA SDK and compiler paths for nvcc.
ccap=86 ... CXX = g++-9 CUDA = /usr/local/cuda-11.8 CXXCUDA = /usr/bin/g++-9 -
Build:
$ make all -
Attention!!! You need to use g++-9 or a lower version to compile, otherwise the program will not run properly.
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Example for bitcoin puzzle 68
./vanitysearch -t 0 -gpu -gpuId 0 -i in.txt -o out.txt --keyspace 80000000000000000:+FFFFFFFFFFin.txt 1DRd8L1KktWwqVLm3myS4vugQV3ai1LPeN /privatekey:80000000000001000 15oCidgtdDz6VVKiMsZjRvHR9scJvN9GAX /privatekey:80000000000100000 1MVDYgVaSN6iKKEsbzRUAYFrYJadLYZvvZ /targetaddress