Parallelization

momi will automatically use all available CPUs to perform computations in parallel. You can control the number of threads by setting the environment variable OMP_NUM_THREADS.

To take full advantage of parallelization, it is recommended to make sure numpy is linked against a parallel BLAS implementation such as MKL or OpenBlas. This is automatically taken care of in most packaged, precompiled versions of numpy, such as in Anaconda Python.