This is a Python package for generating code for parameter sweeps and Bayesian inversion.

Get the Docker image

docker pull maedoc/tvb-hpc

and run the tests

docker run --rm -it -v ./:/root/hpc python -m unittest tvb_hpc.tests

(on Windows, replace ./ by %CD%.)

Get hacking with the examples or tests.

• ensure par sweeps etc built as domains
• rng
• make high level usage easier (tavg, bold, gain, fcd, etc)
• test on CUDA
• parallel numba
• simple SALib usage?
• chunking of state & vectorization?
• reach cuda hackathon performance numbers