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Parallel Computing

IPython includes an architecture and library for interactive parallel computing. The enables Python functions, along with their arguments, to be run in parallel a multicore CPU, cluster or cloud using a simple Python API.

Tutorials

Data Publication API

Examples

Non-notebook examples

This directory also contains examples that are regular Python (.py) files.



In [1]:

    
%run ../utils/list_pyfiles.ipy









    




customresults.py







    




dagdeps.py







    




dependencies.py







    




fetchparse.py







    




iopubwatcher.py







    




itermapresult.py







    




nwmerge.py







    




phistogram.py







    




task_profiler.py







    




throughput.py

More substantial examples can be found in subdirectories:



In [2]:

    
%run ../utils/list_subdirs.ipy









    




daVinci Word Count/

  pwordfreq.py

  wordfreq.py







    




interengine/

  bintree.py

  bintree_script.py

  communicator.py

  interengine.py







    











    




pi/

  parallelpi.py

  pidigits.py







    




rmt/

  rmt.ipy

  rmt.ipynb

  rmtkernel.py







    




wave2D/

  communicator.py

  parallelwave-mpi.py

  parallelwave.py

  RectPartitioner.py

  wavesolver.py







    




workflow/

  client.py

  job_wrapper.py

  wmanager.py