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John Melonakos edited this page Jul 15, 2021 · 1 revision

If you redistribute ArrayFire, please follow the terms established in the license. If you wish to cite ArrayFire in an academic publication, please use the following reference:

Formatted:

Yalamanchili, P., Arshad, U., Mohammed, Z., Garigipati, P., Entschev, P., Kloppenborg, B., Malcolm, J. and Melonakos, J. (2015). "ArrayFire - A high performance software library for parallel computing with an easy-to-use API." Atlanta: ArrayFire. Retrieved from https://github.com/arrayfire/arrayfire

BibTeX:

@misc{Yalamanchili2015, abstract = {ArrayFire is a high performance software library for parallel computing with an easy-to-use API. Its array based function set makes parallel programming simple. ArrayFire's multiple backends (CUDA, OpenCL and native CPU) make it platform independent and highly portable. A few lines of code in ArrayFire can replace dozens of lines of parallel computing code, saving you valuable time and lowering development costs.}, address = {Atlanta}, author = {Yalamanchili, Pavan and Arshad, Umar and Mohammed, Zakiuddin and Garigipati, Pradeep and Entschev, Peter and Kloppenborg, Brian and Malcolm, James and Melonakos, John}, publisher = {ArrayFire}, title = {{ArrayFire - A high performance software library for parallel computing with an easy-to-use API}}, url = {https://github.com/arrayfire/arrayfire}, year = {2015} }

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