Compiling Cryptohaze Multiforcer
By: Picch
This guide is written with Ubuntu 10.04 LTS x64 in mind and assumes you already have the CUDA Developer Driver (260.19.26) and Toolkit (3.2.16) installed and working properly (ie you can already run CUDA based applications.)
1) Lets make sure we have all of our required dependencies installed. Some of these will probably already be installed.
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sudo apt-get install kernel-package libncurses5-dev wget bzip2 libboost-dev libboost-thread-dev libboost-system-dev libglu1-mesa-dev subversion libargtable2-dev libgd2-xpm-dev libargtable2-dev libxi-dev libxmu-dev libxmu6 freeglut3-dev
2) Download and install GPU Computing SDK code samples.
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wget http://developer.download.nvidia.com/compute/cuda/3_2_prod/sdk/gpucomputingsdk_3.2.16_linux.run
chmod a+x gpucomputingsdk_3.2.16_linux.run
./gpucomputingsdk_3.2.16_linux.run
3) We need to fix a couple of “issues” so everything compiles correctly.
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cd /usr/lib
sudo rm libGL.so
sudo ln -s libGL.so.260.19.26 libGL.so
sudo ln -s /usr/lib/libboost_thread.so /usr/local/lib/libboost_thread.so
sudo ln -s /usr/lib/libboost_system.so /usr/local/lib/libboost_system.so
4) Time to compile the SDK Tools (go grab a beer, this will take a few minutes)
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cd ~/NVIDIA_GPU_Computing_SDK/C
make
5) We need to checkout the Cryptohaze Multiforcer repository.
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cd ~/NVIDIA_GPU_Computing_SDK/C/src
svn checkout https://cryptohaze.svn.sourceforge.net/svnroot/cryptohaze/Cryptohaze-Multiforcer
6) Time to compile the mulitforcer (go grab another beer)
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cd ~/NVIDIA_GPU_Computing_SDK/C/src/Cryptohaze-Multiforcer
make –f Makefile-Linux
7) Browse to location where newly compiled executable is located
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cd ~/NVIDIA_GPU_Computing_SDK/C/bin/linux/release
mv CUDA-Multiforcer-CPP <directory you want the executable to reside in>