[arrayfire] 17/26: Added citation and acknowledgements.

[Ghislain Vaillant]

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commit 2b4173238ed0f201d79cd3a0f19a5825f9ce82a7
Author: Brian Kloppenborg <brian at kloppenborg.net>
Date:   Wed Jun 24 13:54:48 2015 -0400

    Added citation and acknowledgements.
---
 README.md            | 51 ++++++++++++++++++++++++++++++++++++++++++++++++++-
 docs/pages/README.md | 47 +++++++++++++++++++++++++++++++++++++++++++++++
 2 files changed, 97 insertions(+), 1 deletion(-)

diff --git a/README.md b/README.md
index 9c818fa..25fdd9b 100644
--- a/README.md
+++ b/README.md
@@ -104,4 +104,53 @@ Quick links:
 
 ### Contribute
 
-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.
+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.
+
+## Acknowleding use of ArrayFire
+
+If you redistribute ArrayFire, please follow the terms established in
+[the license](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, James and Melonakos, J. (2015).
+ArrayFire - A high performance software library for parallel computing with an
+easy-to-use API. Atlanta: AccelerEyes. Retrieved from https://github.com/arrayfire/arrayfire
+```
+
+BibTeX:
+```bibtex
+ at 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 = {AccelerEyes},
+title = {{ArrayFire - A high performance software library for parallel computing with an easy-to-use API}},
+url = {https://github.com/arrayfire/arrayfire},
+year = {2015}
+}
+```
+
+## Acknowledgements
+
+The ArrayFire library is written by developers at [ArrayFire](http://arrayfire.com) LLC
+with [contributions from several individuals](https://github.com/arrayfire/arrayfire/graphs/contributors).
+The developers at ArrayFire LLC are grateful for financial support from several
+institutions as listed below:
+
+<!--
+The following section contains acknowledgements for grant funding. In most
+circumstances, the specific phrasing of the text is mandated by the grant
+provider. Thus these acknowledgements must remain intact without modification.
+-->
+
+This material is based upon work supported by the DARPA SBIR Program Office
+under Contract Numbers W31P4Q-14-C-0012 and W31P4Q-15-C-0008.
+Any opinions, findings and conclusions or recommendations expressed in this
+material are those of the author(s) and do not necessarily reflect the views of
+the DARPA SBIR Program Office.
diff --git a/docs/pages/README.md b/docs/pages/README.md
index 6ec7d42..a0c486f 100644
--- a/docs/pages/README.md
+++ b/docs/pages/README.md
@@ -127,3 +127,50 @@ af_print(pi);
 
 * Engineering: technical at arrayfire.com
 * Sales: sales at arrayfire.com
+
+## Acknowleding use of ArrayFire
+
+If you redistribute ArrayFire, please follow the terms established in
+[the license](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, James and Melonakos, J. (2015).
+ArrayFire - A high performance software library for parallel computing with an
+easy-to-use API. Atlanta: AccelerEyes. Retrieved from https://github.com/arrayfire/arrayfire
+```
+
+BibTeX:
+```bibtex
+ at 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 = {AccelerEyes},
+title = {{ArrayFire - A high performance software library for parallel computing with an easy-to-use API}},
+url = {https://github.com/arrayfire/arrayfire},
+year = {2015}
+}
+```
+
+## Acknowledgements
+
+The ArrayFire library is written by developers at [ArrayFire](http://arrayfire.com) LLC
+with [contributions from several individuals](https://github.com/arrayfire/arrayfire/graphs/contributors).
+The developers at ArrayFire LLC are grateful for financial support from several
+institutions as listed below:
+
+<!--
+The following section contains acknowledgements for grant funding. In most
+circumstances, the specific phrasing of the text is mandated by the grant
+provider. Thus these acknowledgements must remain intact without modification.
+-->
+
+This material is based upon work supported by the DARPA SBIR Program Office
+under Contract Numbers W31P4Q-14-C-0012 and W31P4Q-15-C-0008.
+Any opinions, findings and conclusions or recommendations expressed in this
+material are those of the author(s) and do not necessarily reflect the views of
+the DARPA SBIR Program Office.

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