Parallel
From HaskellWiki
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#: Meanwhile look out for [[Parallel/Research|ongoing research]] into distributed Haskell. | #: Meanwhile look out for [[Parallel/Research|ongoing research]] into distributed Haskell. | ||
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== Tools == | == Tools == | ||
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* [[Parallel/Reading|Parallel Haskell reading]] | * [[Parallel/Reading|Parallel Haskell reading]] | ||
* [[Parallel/Research|Current research]] | * [[Parallel/Research|Current research]] | ||
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| + | == Community == | ||
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| + | * The [https://groups.google.com/group/parallel-haskell parallel-haskell mailing list] | ||
| + | * Follow [http://twitter.com/#!/parallelhaskell @parallelhaskell] on Twitter [[image:Twitter-mini.png]] | ||
| + | * StackOverflow on Haskell [http://stackoverflow.com/questions/tagged/haskell%2bparallel parallelism] and [http://stackoverflow.com/questions/tagged/haskell%2bconcurrency concurrency] | ||
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| + | == News == | ||
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[[Category:Parallel]] | [[Category:Parallel]] | ||
Revision as of 16:49, 16 March 2011
Parallelism and Concurrency in Haskell
Contents |
1 Getting started
Haskell supports both pure parallelism and explicit concurrency. How would you like to begin?
- Speed up your code by making it run on multicore:
- Start with Control.Parallel (pseq, par) and refine with Strategies
- Manage simultaneous IO actions (eg. multiple connections on a web server)
- Start with Concurrent Haskell (forkIO, MVar)
- Work with clusters or do distributed programming
- Learn about concurrency first and then use the Haskell MPI bindings.
- Meanwhile look out for ongoing research into distributed Haskell.
2 Tools
- Threadscope - parallel programs not getting faster? Use the Threadscope debugger and watch sparks fly.
- Comprehensive list of Parallelism and Concurrency libraries
3 Documentation
4 Community
- The parallel-haskell mailing list
- Follow @parallelhaskell on Twitter
- StackOverflow on Haskell parallelism and concurrency
