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(Community: Parallel GHC project)
(Documentation: Added link to "Parallel and Concurrent Programming in Haskell")
 
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== News ==
 
== News ==
   
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* 2012-04-20 [http://www.well-typed.com/blog/65 Parallel Haskell Digest 9]
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* 2012-03-02 [http://www.well-typed.com/blog/64 Parallel Haskell Digest 8]
 
* 2011-12-24 [http://www.well-typed.com/blog/62 Parallel Haskell Digest 7]
 
* 2011-12-24 [http://www.well-typed.com/blog/62 Parallel Haskell Digest 7]
 
* 2011-11-21 [http://www.haskell.org/pipermail/haskell-cafe/2011-November/097008.html Job Opportunity at Parallel Scientific]
 
* 2011-11-21 [http://www.haskell.org/pipermail/haskell-cafe/2011-November/097008.html Job Opportunity at Parallel Scientific]
* 2011-10-06 [http://www.well-typed.com/blog/60 Parallel Haskell Digest 6]
 
   
 
== Tools ==
 
== Tools ==
   
* [http://research.microsoft.com/en-us/projects/threadscope Threadscope] - parallel programs not getting faster? Use the Threadscope debugger and watch sparks fly.
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* [[ThreadScope]] - parallel programs not getting faster? Use the Threadscope debugger and watch sparks fly.
 
* Comprehensive list of [[Applications_and_libraries/Concurrency_and_parallelism|Parallelism and Concurrency libraries]]
 
* Comprehensive list of [[Applications_and_libraries/Concurrency_and_parallelism|Parallelism and Concurrency libraries]]
   
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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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* [http://chimera.labs.oreilly.com/books/1230000000929/index.html Parallel and Concurrent Programming in Haskell] (online book)
   
 
[[Category:Parallel]]
 
[[Category:Parallel]]

Latest revision as of 15:17, 6 September 2013


Parallelism and Concurrency in Haskell

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 (par, pseq) and refine with Strategies
    Find out more about parallelism basics
  2. Manage simultaneous IO actions (eg. multiple connections on a web server)
    Start with Concurrent Haskell (forkIO, MVar)
    Find out more about concurrency basics
  3. Work with clusters or do distributed programming
    Learn about concurrency first, then try using network protocol libraries like HTTP or zeromq.
    Meanwhile look out for ongoing research into distributed Haskell.

[edit] 1 Community

[edit] 2 News

[edit] 3 Tools

[edit] 4 Documentation