pympipool - scale functions over multiple compute nodes using mpi4py
Project description
pympipool
Scale functions over multiple compute nodes using mpi4py
Write a python test file like pool.py
:
from pympipool import Pool
def calc(i):
import numpy as np
return np.array(i ** 2)
with Pool(cores=2) as p:
print(p.map(function=calc, lst=[1, 2, 3, 4]))
You can execute the python file pool.py
in a serial python process:
python pool.py
>>> [array(1), array(4), array(9), array(16)]
Internally pympipool
uses mpi4py
to distribute the 4 calculation to two processors cores=2
.
Alternatively, you can copy all lines to a jupyter notebook
or an ipython
shell and execute them directly. But this does not work with a regular python shell.
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