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ArrayFire is a high performance library for parallel computing with an easy-to-use API. It enables users to write scientific computing code that is portable across CUDA, OpenCL and CPU devices. This project provides Python bindings for the ArrayFire library.

OS	Tests
Linux
Windows
OSX
Linux on ARM

Documentation for this project can be foundover here.

# Monte Carlo estimation of pidefcalc_pi_device(samples):# Simple, array based API# Generate uniformly distributed random numersx=af.randu(samples)y=af.randu(samples)# Supports Just In Time Compilation# The following line generates a single kernelwithin_unit_circle= (x*x+y*y)<1# Intuitive function namesreturn4*af.count(within_unit_circle)/samples

Choosing a particular backend can be done usingaf.set_backend(name) where name is either "cuda", "opencl", or "cpu". The default device is chosen in the same order of preference.

Currently, this project is tested only on Linux and OSX. You also need to have the ArrayFire C/C++ library installed on your machine. You can get it from the following sources.

• Download and install binaries
• Build and install from source

Please check the following links for dependencies.

• Linux dependencies
• OSX dependencies

Install the last stable version:

pip install arrayfire

Install the development version:

pip install git+git://github.com/arrayfire/arrayfire-python.git@devel

Installing offline

cd path/to/arrayfire-pythonpython setup.py install

Post Installation

Please followthese instructions to ensure the arrayfire-python can find the arrayfire libraries.

To run arrayfire tests, you can run the following command from command line.

python -m arrayfire.tests

The ArrayFire library is written by developers atArrayFire LLCwithcontributions from several individuals.

The developers at ArrayFire LLC have received partial financial supportfrom several grants and institutions. Those that wish to receive publicacknowledgement are listed below:

This material is based upon work supported by the DARPA SBIR Program Officeunder Contract Numbers W31P4Q-14-C-0012 and W31P4Q-15-C-0008.Any opinions, findings and conclusions or recommendations expressed in thismaterial are those of the author(s) and do not necessarily reflect the views ofthe DARPA SBIR Program Office.