Parallel
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| - | + | __NOTOC__ | |
| - | + | '''Parallelism and Concurrency in Haskell''' | |
Haskell supports both pure parallelism and explicit concurrency. How would you like to begin? | Haskell supports both pure parallelism and explicit concurrency. How would you like to begin? | ||
# Speed up your code by making it run on multicore: | # Speed up your code by making it run on multicore: | ||
| - | #: Start with Control.Parallel (''' | + | #: Start with Control.Parallel ('''par''', '''pseq''') and refine with Strategies |
| + | #: ''Find out more about [[Parallelism|parallelism basics]]'' | ||
# Manage simultaneous IO actions (eg. multiple connections on a web server) | # Manage simultaneous IO actions (eg. multiple connections on a web server) | ||
#: Start with Concurrent Haskell ('''forkIO''', '''MVar''') | #: Start with Concurrent Haskell ('''forkIO''', '''MVar''') | ||
| + | #: ''Find out more about [[Concurrency|concurrency basics]]'' | ||
# Work with clusters or do distributed programming | # Work with clusters or do distributed programming | ||
| - | #: | + | #: Learn about concurrency first, then try using [[Applications_and_libraries/Network#Libraries|network protocol libraries]] like HTTP or zeromq. |
| - | #: | + | #: Meanwhile look out for [[Parallel/Research|ongoing research]] into distributed Haskell. |
| - | == | + | == Community == |
| - | + | * Ask questions on [[Mailing lists|Haskell Cafe]] | |
| + | * See what [https://groups.google.com/group/parallel-haskell parallel-haskell] researchers and developers are working on | ||
| + | * Get the latest from the [[Parallel GHC Project]] | ||
| + | * 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 == | |
| - | + | ||
| - | + | * 2012-04-20 [http://www.well-typed.com/blog/65 Parallel Haskell Digest 9] | |
| + | * 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] | ||
| + | * 2011-11-21 [http://www.haskell.org/pipermail/haskell-cafe/2011-November/097008.html Job Opportunity at Parallel Scientific] | ||
| - | + | == Tools == | |
| - | * | + | |
| - | * | + | * [[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]] | ||
| + | |||
| + | == Documentation == | ||
| - | + | * [[Parallel/Glossary|Glossary]] | |
| + | * [[Parallel/Reading|Parallel Haskell reading]] | ||
| + | * [[Parallel/Research|Current research]] | ||
| - | + | [[Category:Parallel]] | |
Current revision
Parallelism and Concurrency in Haskell
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 (par, pseq) and refine with Strategies
- Find out more about parallelism basics
- Manage simultaneous IO actions (eg. multiple connections on a web server)
- Start with Concurrent Haskell (forkIO, MVar)
- Find out more about concurrency basics
- 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.
1 Community
- Ask questions on Haskell Cafe
- See what parallel-haskell researchers and developers are working on
- Get the latest from the Parallel GHC Project
- Follow @parallelhaskell on Twitter
- StackOverflow on Haskell parallelism and concurrency
2 News
- 2012-04-20 Parallel Haskell Digest 9
- 2012-03-02 Parallel Haskell Digest 8
- 2011-12-24 Parallel Haskell Digest 7
- 2011-11-21 Job Opportunity at Parallel Scientific
3 Tools
- ThreadScope - parallel programs not getting faster? Use the Threadscope debugger and watch sparks fly.
- Comprehensive list of Parallelism and Concurrency libraries
