Command history for setting up CUDA on Linux 14.04

CUDA setup

# query nvidia card
lspci -vnn | grep -i VGA -A 12

# install nvidia driver 352.63
sudo apt-get install nvidia-352
sudo reboot

# Download OS-Arch CUDA Toolkit package from https://developer.nvidia.com/cuda-downloads
cd ~/Downloads
wget -O cuda.deb http://developer.download.nvidia.com/compute/cuda/7.5/Prod/local_installers/cuda-repo-ubuntu1404-7-5-local_7.5-18_amd64.deb
sudo dpkg -i cuda.deb
sudo apt-get update
sudo apt-get install cuda
sudo reboot

# Setup verify CUDA install as per http://docs.nvidia.com/cuda/cuda-getting-started-guide-for-linux/index.html#axzz43sPr7vrN
# Env setup
echo 'export PATH=/usr/local/cuda-7.0/bin:$PATH' >>  ~/.bashrc
echo 'export LD_LIBRARY_PATH=/usr/local/cuda-7.0/lib64:$LD_LIBRARY_PATH' ~/.bashrc
# Install samples
cuda-install-samples-7.5.sh ~
cd ~/NVIDIA_CUDA-7.5_Samples/bin/x86_64/linux/release/
./deviceQuery
cd ~/NVIDIA_CUDA-7.5_Samples/
# Verify CUDA driver & Toolkits versions
cat /proc/driver/nvidia/version
nvcc -V
# Compile & run tests
make -C 1_Utilities/bandwidthTest
sudo 1_Utilities/bandwidthTest/bandwidthTest
make -C 0_Simple/vectorAdd
sudo 0_Simple/vectorAdd/vectorAdd
make -C 2_Graphics/Mandelbrot
sudo 2_Graphics/Mandelbrot/Mandelbrot

# Add to bash config
export CUDA_HOME=/usr/local/cuda-7.5
export LD_LIBRARY_PATH=${CUDA_HOME}/lib64
PATH=${CUDA_HOME}/bin:${PATH}
export PATH

### Optional - setup test PyCUDA & SCIKITS-CUDA using system python ###
# Install PyCuda 2016.1 as per https://wiki.tiker.net/PyCuda/Installation/Linux
sudo apt-get install libboost-all-dev
sudo apt-get install build-essential python-dev python-setuptools libboost-python-dev libboost-thread-dev -y
sudo apt-get install python-numpy -y
wget https://pypi.python.org/packages/source/p/pycuda/pycuda-2016.1.tar.gz
mkdir ~/CustomBuilds
mv ~/Downloads/pycuda-2016.1.tar.gz CustomBuilds/
cd ~/CustomBuilds
tar xzvf pycuda-2016.1.tar.gz
cd pycuda-2016.1/
./configure.py --cuda-root=/usr/local/cuda --cudadrv-lib-dir=/usr/lib/x86_64-linux-gnu --boost-inc-dir=/usr/include --boost-lib-dir=/usr/lib --boost-python-libname=boost_python --boost-thread-libname=boost_thread --no-use-shipped-boost
make -j 4
sudo python setup.py install
# install pip as per https://pip.pypa.io/en/stable/installing/
wget https://bootstrap.pypa.io/get-pip.py
python ~/Downloads/get-pip.py
sudo python ~/Downloads/get-pip.py
sudo pip install .
python test_driver.py

# Install SCIKIT-CUDA
cd ~/CustomBuilds
git clone https://github.com/lebedov/scikit-cuda.git
cd scikit-cuda/
python setup.py install --user

#ANACONDA python 2.7 64-bit linux installer from https://www.continuum.io
cd ~/Downloads
wget -O Anaconda.sh https://3230d63b5fc54e62148e-c95ac804525aac4b6dba79b00b39d1d3.ssl.cf1.rackcdn.com/Anaconda2-2.5.0-Linux-x86_64.sh
bash Anaconda.sh
conda install numpy scipy mkl

#Install PyCuda & SCIKIT-CUDA in ANACONDA env
pip install pycuda
pip install scikit
sudo apt-get install nvidia-modprobe

# mne-python
cd ~Projects/
git clone git://github.com/mne-tools/mne-python.git
cd mne-python/
python setup.py develop
MNE_LOGGING_LEVEL=info MNE_USE_CUDA=true nosetests mne/tests/test_filter.py:test_cuda -s
python -c "import mne; mne.utils.set_config('MNE_USE_CUDA', 'true');" # if test succeeds

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