Please note that this package is still under developement and some features are not yet usable.

Brian2cuda is an extention of the spiking neural network simulator Brian2, implementing a Brian2 standalone device to generate C++/CUDA code to run simluations on NVIDIA general purpose graphics processing units (GPGPUs).

Use your Brian2 code (see Brian2 documentation) and modify the imports to:

from brian2 import *
import brian2cuda
set_device("cuda_standalone")

The Brian2 version with which this implementation is working is stored in a submodule in frozen_repos/brian (currently Brian2 commit fadc6a0aeb90d1b4d343470628457d8561536f67 ).

After cloning you can initialise the submodule by running this command from inside this repository:

git submodule update --init frozen_repos/brian2

Now you can install the correct Brian2 and brian2cuda versions using pip (Be careful if you already have a Brian2 version installed in your current Python environment!):

pip install .
pip install ./frozen_repos/brian2

Or just add them to your PYTHONPATH (in which case you need to install their dependencies manually).

The brian2genn and GeNN versions that can be used for comparison are stored in submodules in frozen_repos/brian2genn and frozen_repos/genn. You can initialise them with:

git submodule update --init frozen_repos/brian2genn
git submodule update --init frozen_repos/genn

If you are using LINUX and your CUDA is installed in /usr/local/cuda/, you can now just source init_genn to set the enironmental variables needed for GeNN to work:

source frozen_repos/init_genn

Otherwise follow the instructions from the GeNN repository

Now you can install brian2genn either with pip:

pip install ./frozen_repos/brian2genn

or just add it to your PYTHONPATH.