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dc.contributor.author	Morrisett, John Gregory
dc.contributor.author	Mainland, Geoffrey
dc.date.accessioned	2012-11-29T14:46:14Z
dc.date.issued	2010
dc.identifier.citation	Mainland, Geoffrey, and John Gregory Morrisett. 2010. Nikola: Embedding compiled GPU functions in Haskell. In Haskell '10: Proceedings of the 2010 ACM SIGPLAN Haskell Symposium: September 30, 2010, Baltimore, Maryland, ed. Jeremy Gibbons, 67-78. New York: Association for Computing Machinery.	en_US
dc.identifier.isbn	9781450302524	en_US
dc.identifier.uri	http://nrs.harvard.edu/urn-3:HUL.InstRepos:9965456
dc.description.abstract	We describe Nikola, a first-order language of array computations embedded in Haskell that compiles to GPUs via CUDA using a new set of type-directed techniques to support re-usable computations. Nikola automatically handles a range of low-level details for Haskell programmers, such as marshaling data to/from the GPU, size inference for buffers, memory management, and automatic loop parallelization. Additionally, Nikola supports both compile-time and run-time code generation, making it possible for programmers to choose when and where to specialize embedded programs.	en_US
dc.description.sponsorship	Engineering and Applied Sciences	en_US
dc.language.iso	en_US	en_US
dc.publisher	Association for Computing Machinery	en_US
dc.relation.isversionof	doi:10.1145/1863523.1863533	en_US
dash.license	META_ONLY
dc.subject	meta programming	en_US
dc.subject	CUDA	en_US
dc.subject	GPU	en_US
dc.subject	languages	en_US
dc.subject	design	en_US
dc.title	Nikola: Embedding Compiled GPU Functions in Haskell	en_US
dc.type	Monograph or Book	en_US
dc.description.version	Author's Original	en_US
dc.relation.journal	Haskell '10: Proceedings of the 2010 ACM SIGPLAN Haskell Symposium	en_US
dash.depositing.author	Morrisett, John Gregory
dash.embargo.until	10000-01-01
dash.waiver	2010-08-09

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  Peer reviewed scholarly articles from the Faculty of Arts and Sciences of Harvard University

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