Re: BitCrack - A tool for brute-forcing private keys

I have compiled cuBitCrack using CUDA 11.2, confirmed working on 2080, 2080ti, and 3070 without the multiplication issue preventing private keys from being found.

Can anyone help me create a windows binary?

https://github.com/yoyodapro/BitCrack/releases/tag/v11.2-alpha

What speed did you see with 3070?

Source code available on github, to compile for Windows?

3070 with 45 256 2096 - 1845Mkeys/s

Ive tried to make the same modifications to the VS project files and it wont compile for me.

Also i am not familiar enough with VS to begin with.

what code did you modify? I can create windows if you tell me what you modified...

I changed in the makefile

# CUDA variables
COMPUTE_CAP=75
NVCC=nvcc
NVCCFLAGS=-std=c++11 -gencode=arch=compute_${COMPUTE_CAP},code=\"sm_${COMPUTE_CAP}\" -Xptxas="-v" -Xcompiler "${CXXFLAGS}"
CUDA_HOME=/usr/local/cuda-11.2
CUDA_LIB=${CUDA_HOME}/lib64
CUDA_INCLUDE=${CUDA_HOME}/include
CUDA_MATH=$(CUR_DIR)/cudaMath

# OpenCL variables
OPENCL_LIB=${CUDA_LIB}
OPENCL_INCLUDE=${CUDA_INCLUDE}
OPENCL_VERSION=112

Ive tried modifying the .props to change

Code:

<CUDA_INCLUDE>C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include</CUDA_INCLUDE>
<CUDA_LIB>C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\lib\x64</CUDA_LIB>
<OPENCL_INCLUDE>C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include</OPENCL_INCLUDE>
<OPENCL_LIB>C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\lib\x64</OPENCL_LIB>

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to

Code:

<CUDA_INCLUDE>C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.2\include</CUDA_INCLUDE>
<CUDA_LIB>C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.2\lib\x64</CUDA_LIB>
<OPENCL_INCLUDE>C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.2\include</OPENCL_INCLUDE>
<OPENCL_LIB>C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.2\lib\x64</OPENCL_LIB>

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Then building the CudaKeyFinder and KeyFinder in VS2019 (Release x64) but it will not work for me, I am most likely doing something wrong.

P.S. When running on linux the most up to date cuda drivers had no problems running on my 2080, 2080ti, and 3070. there is most likely just a problem with the last release and the compute capability with cuBitCrack from brichard19.