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{{Infobox programming language
| name = Chapel
| logo =
| logo size = 180px
| screenshot =
| screenshot caption =
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| designer = David Callahan, Hans Zima, Brad Chamberlain, John Plevyak
| developer = [[Hewlett Packard Enterprise]] (previously [[Cray|Cray Inc.]])
| latest release version =
| latest release date = {{Start date and age|
| latest preview version =
| latest preview date = <!-- {{start date and age|2013|10|17}} -->
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| implementations =
| dialects =
| influenced by = [[Ada (programming language)|Ada]], [[C Sharp (programming language)|C#]],<ref name="chplspec">{{cite web|title=Chapel spec (Acknowledgments)|url=http://chapel-lang.
| influenced =
| programming language =
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}}
'''Chapel''', the '''Cascade High Productivity Language''', is a [[parallel programming language]] that was developed by [[Cray]],<ref>{{cite book |title=Modular programming languages: 7th Joint Modular Languages Conference |url=https://archive.org/details/modularprogrammi00ligh |url-access=limited |first=David E. |last=Lightfoot |year=2006 |isbn=978-3-540-40927-4 |page=[https://archive.org/details/modularprogrammi00ligh/page/n27 20]|publisher=Springer }}</ref> and later by [[Hewlett Packard Enterprise]] which acquired Cray. It was being developed as part of the Cray Cascade project, a participant in [[DARPA]]'s [[High Productivity Computing Systems]] (HPCS) program, which had the goal of increasing [[supercomputer]] productivity by 2010. It is being developed as an [[open-source software|open source]] project, under version 2 of the [[Apache license]].<ref>{{cite web |title=Chapel license information |url=http://chapel-lang.
The Chapel compiler is written in [[C (programming language)|C]] and [[C++]] ([[C++14]]). The backend (i.e. the optimizer) is [[LLVM]], written in C++. Python 3.7 or newer is required for some optional components such Chapel’s test system and c2chapel, a tool to generate C [[language binding|bindings]] for Chapel. By default Chapel compiles to binary executables, but it can also compile to C code, and then LLVM is not used. Chapel code can be compiled to libraries to be callable from C, or Fortran or e.g. Python also supported. Chapel supports [[General-purpose computing on graphics processing units (software)|GPU programming]] through code generation for NVIDIA and AMD graphics processing units.<ref name="GPUProgamming">{{cite web|title=Chapel Technote: GPU Programming|url=https://chapel-lang.org/docs/technotes/gpu.html|date=2023-09-28|access-date=2023-11-03|publisher=Hewlett Packard Enterprise}}</ref>
==Goals==
Chapel aims to improve the programmability of [[parallel computer]]s in general and the Cascade system in particular, by providing a higher level of expression than current programming languages do and by improving the separation between algorithmic expression and [[data structure]] implementation details.
The language designers aspire for Chapel to bridge the gap between current [[high-performance computing
==Features==
Chapel supports a [[multithreading (computer architecture)|multithreaded]] parallel programming model at a high level by supporting abstractions for [[data parallelism]], [[task parallelism]], and [[nested parallelism]]. It enables optimizations for the [[locality of data]] and computation in the program via abstractions for data distribution and [[Data-driven programming|data-driven]] placement of subcomputations. It allows for [[code reuse]] and generality through [[Object-oriented programming|object-oriented]] concepts and [[generic programming]] features. For instance, Chapel allows for the declaration of [[Locale (computer hardware)|locales]].<ref>
{{Cite conference
| author1 = Bongen Gu
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==Further reading==
*{{cite news |title=Why Chapel for Parallel Programming? |date=August 6, 2014 |first=Rich |last=Brueckner |work=InsideHPC |url=http://insidehpc.com/2014/08/chapel-parallel-programming/ |access-date=2015-03-23}}
*{{cite
*{{cite book |editor=Padua, David |title=Encyclopedia of Parallel Computing |volume=4 |publisher=Springer Science & Business Media |year=2011 |isbn=9780387097657 |pages=249–256}}
*Panagiotopoulou, K.; Loidl, H. W. (2016). [https://ieeexplore.ieee.org/document/7530055/ "Transparently Resilient Task Parallelism for Chapel"] ''Parallel and Distributed Processing Symposium Workshops (IPDPSW), 2016 IEEE International Symposium'', Chicago, IL. {{doi| 10.1109/IPDPSW.2016.102}} {{ISBN|978-1-5090-3682-0}}
==External links==
* {{official website|
* {{GitHub|chapel-lang/chapel}}
* [http://99-bottles-of-beer.net/language-chapel-1215.html 99 bottles of beer in Chapel]
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[[Category:2009 software]]
[[Category:Free software projects]]
[[Category:Statically typed programming languages]]
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