This repository contains tools for cross-compiling a Python interpreter and the Numpy and Scipy libraries for an Intel Xeon Phi Many Integrated Core (MIC) coprocessor, allowing you to run Python code using those libraries as parallel native executables on the coprocessor, communicating and processing with the full power and expressivity of Python.

Based on Emilio Castillo Villar's work to cross-compile Python.

Numpy was never designed to be cross-compiled for anything, much less a system without a compiler of its own, so much effort was placed into re-engineering it to use the "MIC" architecture and the relevant Intel MKL libraries. Internal testing code for Numpy and Scipy also works.

After downloading the Makefile into a folder and running make like the following:

mkdir -p mic
cd mic
wget https://raw.github.com/bpartridge/PyPhi/master/Makefile -N && make

that folder mic will then contain python/_install, which will be the $PYTHONHOME whose bin/python can be executed on the Phi, and whose lib/python2.7[/site-packages] should be on $PYTHONPATH. See mic_task.sh for a usage example.

Tested on the Babbage cluster at NERSC as part of the MANTISSA project.

• 64-bit Intel system for compiling.

• Recent Python installed on that system; tested with the Anaconda distribution.

• Intel Composer XE 2013 SP1 installed with MKL and MPI support in /opt/intel/composer_xe_2013_sp1/.

• A Xeon Phi coprocessor for testing (not needed for compilation itself.)

• Currently, SSE instructions are disabled for Numpy, since they are very different on the Phi. This would require a native porting effort for such files as einsum.c.src.

• MPI such as mpi4py.

• Pip/setuptools for non-native python packages.

• A generic modified version of Pip for native python packages.

• http://software.intel.com/en-us/forums/topic/392736

• http://randomsplat.com/id5-cross-compiling-python-for-embedded-linux.html

• http://www.nersc.gov/users/computational-systems/testbeds/babbage/#toc-anchor-12

• http://www.scipy.org/scipylib/building/linux.html#any-distribution-with-intel-c-compiler-and-mkl

• http://thread.gmane.org/gmane.comp.python.scientific.user/32036/focus=32037

• http://whatschrisdoing.com/blog/2009/10/16/cross-compiling-python-extensions/

Copyright (c) 2014 Brenton Partridge

Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.

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