clusterfutures 0.5

This module provides a Python concurrent.futures executor that lets you run functions on remote systems in your HTCondor or Slurm cluster. Stop worrying about writing job files, scattering/gathering, and serialization—this module does it all for you.

It uses the cloudpickle library to allow (most) closures to be used transparently, so you’re not limited to “pure” functions.

Installation:

pip install clusterfutures

Usage:

import cfut
def square(n):
    return n * n

with cfut.SlurmExecutor() as executor:
    for result in executor.map(square, [5, 7, 11]):
        print(result)

See slurm_example.py and condor_example.py for further examples. The easiest way to get started is to ignore the fact that futures are being used at all and just use the provided map function, which behaves like itertools.imap but transparently distributes your work across the cluster.