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Merge pull request arrayfire#849 from bkloppenborg/citation
Add citation and acknowledgements to README and documentation
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‎ACKNOWLEDGEMENTS.md‎

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Acknowledgements
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=====
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The ArrayFire library is written by developers at [ArrayFire](http://arrayfire.com) LLC
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with [contributions from several individuals](https://github.com/arrayfire/arrayfire/graphs/contributors).
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The developers at ArrayFire LLC have received partial financial support
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from several grants and institutions. Those that wish to receive public
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acknowledgement are listed below:
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<!--
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The following section contains acknowledgements for grant funding. In most
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circumstances, the specific phrasing of the text is mandated by the grant
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provider. Thus these acknowledgements must remain intact without modification.
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-->
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### Grants
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This material is based upon work supported by the DARPA SBIR Program Office
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under Contract Numbers W31P4Q-14-C-0012 and W31P4Q-15-C-0008.
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Any opinions, findings and conclusions or recommendations expressed in this
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material are those of the author(s) and do not necessarily reflect the views of
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the DARPA SBIR Program Office.

‎README.md‎

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### Contribute
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Contributions of any kind are welcome! Please refer to [this document](https://github.com/arrayfire/arrayfire/blob/master/CONTRIBUTING.md) to learn more about how you can get involved with ArrayFire.
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Contributions of any kind are welcome! Please refer to
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[this document](https://github.com/arrayfire/arrayfire/blob/master/CONTRIBUTING.md)
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to learn more about how you can get involved with ArrayFire.
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## Citations and Acknowledgements
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If you redistribute ArrayFire, please follow the terms established in
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[the license](LICENSE).
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If you wish to cite ArrayFire in an academic publication, please use the
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following reference:
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```
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Yalamanchili, P., Arshad, U., Mohammed, Z., Garigipati, P., Entschev, P.,
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Kloppenborg, B., Malcolm, James and Melonakos, J. (2015).
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ArrayFire - A high performance software library for parallel computing with an
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easy-to-use API. Atlanta: AccelerEyes. Retrieved from https://github.com/arrayfire/arrayfire
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```
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BibTeX:
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```bibtex
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@misc{Yalamanchili2015,
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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.},
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address = {Atlanta},
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author = {Yalamanchili, Pavan and Arshad, Umar and Mohammed, Zakiuddin and Garigipati, Pradeep and Entschev, Peter and Kloppenborg, Brian and Malcolm, James and Melonakos, John},
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publisher = {AccelerEyes},
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title = {{ArrayFire - A high performance software library for parallel computing with an easy-to-use API}},
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url = {https://github.com/arrayfire/arrayfire},
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year = {2015}
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}
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```
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ArrayFire development is funded by ArrayFire LLC and several third parties,
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please see the list of [acknowledgements](https://github.com/arrayfire/arrayfire/blob/master/ACKNOWLEDGEMENTS.md) for further details.
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‎docs/pages/README.md‎

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* Engineering: technical@arrayfire.com
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* Sales: sales@arrayfire.com
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## Citations and Acknowledgements
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If you redistribute ArrayFire, please follow the terms established in
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[the license](LICENSE).
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If you wish to cite ArrayFire in an academic publication, please use the
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following reference:
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Formatted:
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```
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Yalamanchili, P., Arshad, U., Mohammed, Z., Garigipati, P., Entschev, P.,
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Kloppenborg, B., Malcolm, James and Melonakos, J. (2015).
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ArrayFire - A high performance software library for parallel computing with an
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easy-to-use API. Atlanta: AccelerEyes. Retrieved from https://github.com/arrayfire/arrayfire
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```
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BibTeX:
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```bibtex
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@misc{Yalamanchili2015,
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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.},
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address = {Atlanta},
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author = {Yalamanchili, Pavan and Arshad, Umar and Mohammed, Zakiuddin and Garigipati, Pradeep and Entschev, Peter and Kloppenborg, Brian and Malcolm, James and Melonakos, John},
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publisher = {AccelerEyes},
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title = {{ArrayFire - A high performance software library for parallel computing with an easy-to-use API}},
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url = {https://github.com/arrayfire/arrayfire},
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year = {2015}
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}
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```
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ArrayFire development is funded by ArrayFire LLC and several third parties,
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please see the list of [acknowledgements](https://github.com/arrayfire/arrayfire/blob/master/ACKNOWLEDGEMENTS.md) for further details.

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