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(How to: link to tutorial)
(Tutorials: - Simon Marlow's tutorial)
 
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== Tutorials ==
 
== Tutorials ==
   
* See "Real World Haskell" [http://book.realworldhaskell.org/read/concurrent-and-multicore-programming.html chapter 24], for an introduction to the most common forms of concurrent and parallel programming in GHC.
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* [http://community.haskell.org/~simonmar/par-tutorial.pdf Parallel and Concurrent Programming in Haskell] - tutorial by Simon Marlow. Code [https://github.com/simonmar/par-tutorial available on GitHub]
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* "Real World Haskell" [http://book.realworldhaskell.org/read/concurrent-and-multicore-programming.html chapter 24]: an introduction to the most common forms of concurrent and parallel programming in GHC.
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* “[http://research.microsoft.com/en-us/um/people/simonpj/papers/parallel/AFP08-notes.pdf A Tutorial on Parallel and Concurrent Programming in Haskell]”, Peyton Jones and Singh. 2008, a Step by step guide to implicit and explicit parallelism in Haskell, and transactional memory
 
* Improving [[Performance/Concurrency|concurrent Haskell performance]]
 
* Improving [[Performance/Concurrency|concurrent Haskell performance]]
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* [http://www.well-typed.com/Hal6/ Deterministic Parallel Programming in Haskell] : a tutorial in parallel programming, with sample code and exercises
   
== Papers ==
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== Papers to learn with ==
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See also [[Parallel/Research]] if you'd like to dig into the more research-oriented papers on Parallel Haskell
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* “[http://research.microsoft.com/en-us/um/people/simonpj/papers/parallel/multicore-ghc.pdf Runtime Support for Multicore Haskell]”, Marlow, Peyton Jones, Singh. 2009. Describes the architecture of the sparks and parallel GC
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* “[http://www.haskell.org/~simonmar/papers/threadscope.pdf Parallel Performance Tuning for Haskell]”, Jones, Marlow, Singh, 2009 Introduces ThreadScope, and methodical parallel performance advice
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* “[http://research.microsoft.com/en-us/um/people/simonpj/papers/ndp/fsttcs2008.pdf Harnessing the Multicores: Nested Data Parallelism in Haskell]”, Peyton Jones, Leshchinkskiy, Keller, Chakravarty, 2008. the Barnes-Hut algorithm in Data Parallel Haskell
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* “[http://research.microsoft.com/en-us/um/people/simonpj/papers/parallel/multiproc.pdf Haskell on a Shared-Memory Multiprocessor]”, Harris, Marlow, Peyton Jones, 2005 The original SMP runtime implementation paper
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* “[http://research.microsoft.com/en-us/um/people/simonpj/papers/stm/index.htm#beautiful Beautiful Concurrency]”, Peyton Jones, O’Reilly 2007 Introduction to software transactional memory
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* “[http://research.microsoft.com/en-us/um/people/simonpj/papers/stm/stm.pdf Composable memory transactions]“, Harris, Marlow, Peyton Jones, and Herlihy, 2005 - Introduces composable software transactional memory
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* “[http://www.macs.hw.ac.uk/~dsg/gph/papers/html/Strategies/strategies.html Algorithm + Strategy = Parallelism]”, Trinder, Hammond, Loidl, Peyton Jones, 1998. Introduces parallel sparks and strategies
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* “[http://www.galois.com/~sof/papers/concurrent-haskell.ps.gz Concurrent Haskell]”, Peyton Jones, Gordon, Finne, 1996. Introduces concurrent Haskell and forkIO.
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* “[http://research.microsoft.com/en-us/um/people/simonpj/papers/marktoberdorf/ Tackling the Awkward Squad]”, Peyton Jones, 2001. Classic introduction to concurrency in Haskell (and IO), and how to use MVars and Channels.
   
 
== Surveys ==
 
== Surveys ==
   
* A [http://donsbot.wordpress.com/2009/09/03/parallel-programming-in-haskell-a-reading-list/ reading list for parallelism in Haskell].
 
 
* The [http://stackoverflow.com/questions/3063652/whats-the-status-of-multicore-programming-in-haskell status of parallel and concurrent programming] in Haskell.
 
* The [http://stackoverflow.com/questions/3063652/whats-the-status-of-multicore-programming-in-haskell status of parallel and concurrent programming] in Haskell.
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== Other ==
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* [http://en.wikipedia.org/wiki/Concurrent_Haskell Concurrent Haskell] in Wikipedia

Latest revision as of 11:10, 18 December 2012

Contents

[edit] 1 Tutorials

[edit] 2 Papers to learn with

See also Parallel/Research if you'd like to dig into the more research-oriented papers on Parallel Haskell

[edit] 3 Surveys


[edit] 4 Other