Parallel/Reading
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== Tutorials == | == Tutorials == | ||
| - | * | + | * [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] |
| - | * | + | * "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. |
| + | * “[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]] | ||
| + | * [http://www.well-typed.com/Hal6/ Deterministic Parallel Programming in Haskell] : a tutorial in parallel programming, with sample code and exercises | ||
| - | == Papers == | + | == Papers to learn with == |
| + | |||
| + | See also [[Parallel/Research]] if you'd like to dig into the more research-oriented papers on Parallel Haskell | ||
| + | |||
| + | * “[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 | ||
| + | * “[http://www.haskell.org/~simonmar/papers/threadscope.pdf Parallel Performance Tuning for Haskell]”, Jones, Marlow, Singh, 2009 Introduces ThreadScope, and methodical parallel performance advice | ||
| + | * “[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 | ||
| + | * “[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 | ||
| + | * “[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 | ||
| + | * “[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 | ||
| + | * “[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 | ||
| + | * “[http://www.galois.com/~sof/papers/concurrent-haskell.ps.gz Concurrent Haskell]”, Peyton Jones, Gordon, Finne, 1996. Introduces concurrent Haskell and forkIO. | ||
| + | * “[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 == | ||
| - | |||
* 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 == | ||
| + | |||
| + | * [http://en.wikipedia.org/wiki/Concurrent_Haskell Concurrent Haskell] in Wikipedia | ||
Current revision
Contents |
1 Tutorials
- Parallel and Concurrent Programming in Haskell - tutorial by Simon Marlow. Code available on GitHub
- "Real World Haskell" chapter 24: an introduction to the most common forms of concurrent and parallel programming in GHC.
- “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 concurrent Haskell performance
- Deterministic Parallel Programming in Haskell : a tutorial in parallel programming, with sample code and exercises
2 Papers to learn with
See also Parallel/Research if you'd like to dig into the more research-oriented papers on Parallel Haskell
- “Runtime Support for Multicore Haskell”, Marlow, Peyton Jones, Singh. 2009. Describes the architecture of the sparks and parallel GC
- “Parallel Performance Tuning for Haskell”, Jones, Marlow, Singh, 2009 Introduces ThreadScope, and methodical parallel performance advice
- “Harnessing the Multicores: Nested Data Parallelism in Haskell”, Peyton Jones, Leshchinkskiy, Keller, Chakravarty, 2008. the Barnes-Hut algorithm in Data Parallel Haskell
- “Haskell on a Shared-Memory Multiprocessor”, Harris, Marlow, Peyton Jones, 2005 The original SMP runtime implementation paper
- “Beautiful Concurrency”, Peyton Jones, O’Reilly 2007 Introduction to software transactional memory
- “Composable memory transactions“, Harris, Marlow, Peyton Jones, and Herlihy, 2005 - Introduces composable software transactional memory
- “Algorithm + Strategy = Parallelism”, Trinder, Hammond, Loidl, Peyton Jones, 1998. Introduces parallel sparks and strategies
- “Concurrent Haskell”, Peyton Jones, Gordon, Finne, 1996. Introduces concurrent Haskell and forkIO.
- “Tackling the Awkward Squad”, Peyton Jones, 2001. Classic introduction to concurrency in Haskell (and IO), and how to use MVars and Channels.
3 Surveys
- The status of parallel and concurrent programming in Haskell.
4 Other
- Concurrent Haskell in Wikipedia
