Pyrit
From charlesreid1
The code for Pyrit is here: https://code.google.com/p/pyrit/downloads/list
Building Pyrit on Ubuntu AWS Instance
This guides you through building Pyrit on an AWS machine. AWS machines that are GPU clusters only have Nvidia GPUs.
Getting Set Up
Installing on Ubuntu will require the OpenSSL and Libpcap development libraries (i.e., headers), which aren't on Ubuntu by default:
$ apt-get update $ apt-get install build-essential python python-dev $ apt-get install libssl-dev libpcap-dev openssl openssl-dev
Good computer, more pills:
$ apt-get install -y gcc g++ gfortran build-essential git wget linux-image-generic libopenblas-dev python-dev python-pip python-nose python-numpy
Installing Pyrit
Now we're ready to install Pyrit:
$ python setup.py build $ python setup.py install
Installing Pyrit CUDA
Installing CUDA
Before you can install CPyrit Cuda, you have to install CUDA.
Some instructions here: http://tleyden.github.io/blog/2014/10/25/cuda-6-dot-5-on-aws-gpu-instance-running-ubuntu-14-dot-04/ (outdated)
More instructions here: http://markus.com/install-theano-on-aws/
You have two options:
Dive into the gauntlet of privacy violations required in signing up for an account with Nvidia,
Or use the link from the above blog post to download the CUDA developer package (hint: do this one):
sudo wget http://developer.download.nvidia.com/compute/cuda/repos/ubuntu1404/x86_64/cuda-repo-ubuntu1404_7.0-28_amd64.deb
Now install it:
$ deb -i cuda-repo-ubuntu1404_7.0-28_amd64.deb $ apt-get update $ apt-get install -y cuda
Build CPyrit Cuda
Now if everything went well you should be able to build CPyrit Cuda:
$ python setup.py build && python setup.py install running build running build_ext Compiling CUDA module using nvcc 7.0, V7.0.27... Executing '/usr/local/cuda/bin/nvcc -m64 --host-compilation C -Xcompiler "-fPIC" --ptx ./_cpyrit_cudakernel.cu' nvcc warning : option 'host-compilation' has been deprecated Building modules... building 'cpyrit._cpyrit_cuda' extension creating build creating build/temp.linux-x86_64-2.7 x86_64-linux-gnu-gcc -pthread -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fPIC -I/usr/local/cuda/include -I/usr/include/python2.7 -c _cpyrit_cuda.c -o build/temp.linux-x86_64-2.7/_cpyrit_cuda.o -Wall -fno-strict-aliasing -DVERSION="0.4.0" creating build/lib.linux-x86_64-2.7 creating build/lib.linux-x86_64-2.7/cpyrit x86_64-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -D_FORTIFY_SOURCE=2 -g -fstack-protector --param=ssp-buffer-size=4 -Wformat -Werror=format-security build/temp.linux-x86_64-2.7/_cpyrit_cuda.o -lcrypto -lcuda -lz -o build/lib.linux-x86_64-2.7/cpyrit/_cpyrit_cuda.so running install running build running build_ext Skipping rebuild of Nvidia CUDA kernel ... Building modules... running install_lib copying build/lib.linux-x86_64-2.7/cpyrit/_cpyrit_cuda.so -> /usr/local/lib/python2.7/dist-packages/cpyrit running install_egg_info Writing /usr/local/lib/python2.7/dist-packages/cpyrit_cuda-0.4.0.egg-info