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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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== Community ==
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* The [https://groups.google.com/group/parallel-haskell parallel-haskell mailing list]
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* Follow [http://twitter.com/#!/parallelhaskell @parallelhaskell] on Twitter [[image:Twitter-mini.png]]
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* 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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== Tools ==
 
== Tools ==
   
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* [[Parallel/Reading|Parallel Haskell reading]]
 
* [[Parallel/Reading|Parallel Haskell reading]]
 
* [[Parallel/Research|Current research]]
 
* [[Parallel/Research|Current research]]
 
</div></div>
 
<div class="c2"><div class="pad">
 
== Community ==
 
 
* 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]
 
 
== News ==
 
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[[Category:Parallel]]
 
[[Category:Parallel]]

Revision as of 16:50, 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?

  1. Speed up your code by making it run on multicore:
    Start with Control.Parallel (pseq, par) and refine with Strategies
  2. Manage simultaneous IO actions (eg. multiple connections on a web server)
    Start with Concurrent Haskell (forkIO, MVar)
  3. 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 Community

3 News

4 Tools

5 Documentation