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