Running Neurokernel on NVIDIA Jetson Embedded Platform

In this notebook, we show step by step how to run Neurokernel on Jetson TK1 Embedded Development Kit. It can be applied to the latest Jetson TX1 platform with minor modification. Before we start, you must have a Jetson TK1 Embedded Development Kit and have enrolled in NVIDIA Embedded Developer Program. To install Jetson Development Pack (JetPack), you also need access to a Ubuntu OS. Follow these steps to install JetPack. This notebook assumes that JetPack is already installed on your TK1 Kit.

Installing Neurokernel on Jetson TK1

Please execute the following commands in terminal on the TK1. Note that executing command at a time is preferred to ensure complete installation.

We first maximize CPU performance to make running the installlation faster. For the 4 main CPU cores to always run at max performance until reboot:

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sudo su
echo 0 > /sys/devices/system/cpu/cpuquiet/tegra_cpuquiet/enable
echo 1 > /sys/devices/system/cpu/cpu0/online
echo 1 > /sys/devices/system/cpu/cpu1/online
echo 1 > /sys/devices/system/cpu/cpu2/online
echo 1 > /sys/devices/system/cpu/cpu3/online
echo performance > /sys/devices/system/cpu/cpu0/cpufreq/scaling_governor

Update system and install necessary libraries:

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sudo apt-mark hold xserver-xorg-core
sudo apt-get update
sudo apt-get upgrade
sudo apt-get install bash-completion command-not-found
sudo apt-get install emacs24 libreadline-gplv2-dev libncursesw5-dev libssl-dev libsqlite3-dev tk-dev 
sudo apt-get install libgdbm-dev libc6-dev libbz2-dev liblapack-dev libhdf5-dev libxml2-dev libxslt1-dev
sudo apt-get install python-dev tmux gfortran git

Install Latest Python:

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mkdir packages
cd packages
tar -xvf Python-2.7.11.tgz
cd Python-2.7.11
./configure --prefix=/home/ubuntu/opt
make install

Add path:

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echo -e "export PATH=/home/ubuntu/opt/bin:\$PATH\n"\
"export LD_LIBRARY_PATH=/home/ubuntu/opt/lib:\$LD_LIBRARY_PATH\n"\
"export PYTHONPATH=/home/ubuntu/opt/lib/python2.7/site-packages:\$PYTHONPATH" | tee -a ~/.bashrc

source .bashrc

Install Open-mpi:

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cd packages
tar -xvf openmpi-1.10.1.tar.gz
cd openmpi-1.10.1

./configure --with-cuda=/usr/local/cuda --with-threads=posix\
  --disable-mca-dso --prefix=/home/ubuntu/opt

make -j 4
make install

Install virtualenv:

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cd ~/packages
tar -xvf virtualenv-13.1.2.tar.gz
cd virtualenv-13.1.2
python install

virtualenv NK
source NK/bin/activate

Install required Python packages

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pip install numpy scipy ipython cython numexpr pycuda
pip install bidict pandas networkx mpi4py h5py dill lxml markupsafe shutilwhich ply psutil futures twiggy matplotlib
pip install sphinx sphinx_rtd_theme

This step will take a lot of time. If some installation fails with error message: No matching distribution found, you can install it manually by replacing link_to_package with the url for the package in the following command:

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pip install -Iv link_to_package

Install Neurokernel:

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git clone
cd neurokernel
git pull
python develop

Test Neurokernel by running one of the examples

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cd ~/neurokernel/examples/intro/data
python -s 0 -l lpu_0 generic_lpu_0.gexf.gz generic_lpu_0_input.h5                
python -s 1 -l lpu_1 generic_lpu_1.gexf.gz generic_lpu_1_input.h5
cd ../
python --gpu_dev 0 0 --log file

You can ignore warning messages like these:

The call to cuMemHostRegister failed.
  Host:  tegra-ubuntu
  cuMemHostRegister return value:  801
  Memory Pool:  smcuda
Sorry!  You were supposed to get help about:
    cuMemHostRegister during init failed
from the file:
But I couldn't find that topic in the file.  Sorry!


983 more processes have sent help message help-mpi-common-cuda.txt / cuIpcGetMemHandle failed

This is caused by the fact that cudaHostRegister is not supported in armv7 devices. Inspect 'neurokernel.log' after the example finishes execution. If there is no error in the log file, the installation is complete.