The Information Dynamics Toolkit xl (IDTxl) is a comprehensive software package for efficient inference of networks and their node dynamics from multivariate time series data using information theory.
Added support for MPI parallelization for serial CPU estimators.
Requires mpi4py>=3.0.0
To use MPI, all one needs to do is add a MPI=True flag in the Estimator settings dictionary (one can optionally provide a n_workers argument) and start the script using
Internally, added class MPIEstimator, which is a decorator for arbitrary serial (is_parallel()==False) Estimators sending chunks of data to individual Estimator instances on MPI worker ranks using mpi4py.futures.
Limitations:
MPIEstimator does not yet properly work with Estimators which are already parallel themselves
GPU support has not yet been implemented / tested
Auxiliary changes:
Strictly call Estimator.estimate with kwargs only (as the abstract method implies)
Replaced find_estimator with get_estimator factory method to support automatic MPI decoration
Added support for MPI parallelization for serial CPU estimators.
Requires mpi4py>=3.0.0
To use MPI, all one needs to do is add a MPI=True flag in the Estimator settings dictionary (one can optionally provide a n_workers argument) and start the script using
mpiexec -n 1 -usize <max workers + 1> python
on systems with MPI>=2.0 or
mpiexec -n <max workers + 1> python -m mpi4py.futures
on legacy MPI 1 implementations.
Internally, added class MPIEstimator, which is a decorator for arbitrary serial (is_parallel()==False) Estimators sending chunks of data to individual Estimator instances on MPI worker ranks using mpi4py.futures.
Limitations:
Auxiliary changes: