Parallel execution of a MapNode with iterable input/output

I’m new to nipype and need some support for using MapNodes. I’d like to smooth a collection of files in parallel and thought a MapNode with a list of filenames for input image and smoothed image could be what I need for this. The MapNode is configured like this:

from nipype.interfaces.fsl import Smooth
smooth_node = MapNode(Smooth(), name=‘smooth’, iterfield=[‘in_file’, ‘smoothed_file’])
smooth_node.inputs.output_type = ‘NIFTI_GZ’

Can I add some option to indicate that processing should be done in parallel? Or do I have to setup a Workflow for this?

nipype.version: ‘1.8.5’

Kind regards,
Christina Rossmanith