Python: numpy memmap in parallel

Does it make sense to use numpy's memmap across multiple cores (MPI)?

I have a file on disk.

Can I create a separate memmap object on each core, and use it to read different slices from the file?

What about writing to it?

Q : "Does it make sense to use numpy's memmap across multiple cores (MPI)?"

Yes _{( ... even without MPI, using just Python native { thread- | process-}-based forms of concurrent-processing )}

Q : "Can I create a separate memmap-object on each core, and use it to read different slices from the file?"

Yes.

Q : "What about writing to it?"

The same _{( sure, if having been opened in write-able mode ... )}