Pyrit

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instructions here: http://tleyden.github.io/blog/2014/10/25/cuda-6-dot-5-on-aws-gpu-instance-running-ubuntu-14-dot-04/ (outdated)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