Difference between revisions of "Concurrency"

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''Note: you may want to read [[Parallelism vs. Concurrency]], as the terms have historically been conflated.''
[[Category:GHC|Concurrency]]
 
[[Category:Parallel]]
 
   
This page contains notes and information about how to write concurrent programs in Haskell. If you're more interested in performance than non-determinism, learn about [[parallelism]] first.
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This page contains notes and information about how to write concurrent programs in Haskell.
   
 
For practicality, the content is GHC-centric at the moment, although this may change as Haskell evolves.
 
For practicality, the content is GHC-centric at the moment, although this may change as Haskell evolves.
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== Overview ==
 
== Overview ==
   
GHC provides multi-scale support for parallel and concurrent programming, from very fine-grained, small "sparks", to coarse-grained explicit threads and locks, along with other models of concurrent and parallel programming, including actors, CSP-style concurrency, nested data parallelism and Intel Concurrent Collections. Synchronization between tasks is possible via messages, regular Haskell variables, MVar shared state or transactional memory.
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GHC provides multi-scale support for concurrent programming, from very fine-grained, small tasks to coarse-grained explicit threads and locks, along with other models of concurrent programming including actors, CSP-style concurrency, and Intel Concurrent Collections. Synchronization between tasks is possible via messages, regular Haskell variables, <code>MVar</code>-based shared state or transactional memory.
   
 
== Getting started ==
 
== Getting started ==
   
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# Manage simultaneous I/O actions (eg. multiple connections on a web server)
The most important (as of 2010) to get to know are the basic "concurrent Haskell" model of threads using forkIO and MVars, the use of transactional memory via STM.
 
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#: Start with Concurrent Haskell (<code>forkIO</code>, <code>MVar</code>)
 
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#: [[Parallel/Reading|Learn more about concurrency]], then try using [[Applications_and_libraries/Network#Libraries|network protocol libraries]] like HTTP or zeromq.
See "[https://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.13.9123&rep=rep1&type=pdf Tackling the Awkward Squad]" to get started.
 
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# Work with clusters or do distributed programming
 
From there, try the [[Parallel/Reading|reading list for parallelism in Haskell]].
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#: Look out for [[Parallel/Research|ongoing research]] into distributed Haskell.
   
 
== Digging deeper ==
 
== Digging deeper ==
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You get access to concurrency operations by importing the library [http://www.haskell.org/ghc/docs/latest/html/libraries/base/Control-Concurrent.html Control.Concurrent].
 
You get access to concurrency operations by importing the library [http://www.haskell.org/ghc/docs/latest/html/libraries/base/Control-Concurrent.html Control.Concurrent].
   
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== Community ==
{{GHC/Multicore}}
 
   
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* Ask questions on [[Mailing lists|Haskell Cafe]]
Support for low-level parallelism features of modern processors is slowly coming along. As of version 7.8, GHC includes the ability to [https://ghc.haskell.org/trac/ghc/wiki/SIMD emit SIMD instructions], and also has a rudimentary ability to use [[AtomicMemoryOps|atomic memory operations]].
 
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* See what [https://groups.google.com/group/concurrent-haskell concurrent-haskell] researchers and developers are working on
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* Follow [http://twitter.com/#!/concurrenthaskell @concurrenthaskell] on Twitter [[image:Twitter-mini.png]]
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* StackOverflow on Haskell: [http://stackoverflow.com/questions/tagged/haskell%2bconcurrency concurrency]
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== Tools ==
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* [[ThreadScope]] - concurrent programs not working as expected? Use the ThreadScope debugger and watch the fireworks.
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* Various [[Applications and libraries/Concurrency and parallelism|libraries]], including those for concurrency.
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== Documentation ==
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* [[Parallel/Glossary|Glossary]]
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* [[Parallel/Reading|Learning to use concurrency in Haskell]]
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* [[Parallel/Research|Current research]]
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* [http://chimera.labs.oreilly.com/books/1230000000929/index.html [...] Concurrent Programming in Haskell] (online book)
   
 
== Alternative approaches ==
 
== Alternative approaches ==
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== See also ==
 
== See also ==
   
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* [[:Category:Concurrency|Concurrency]] category
* [[Parallel]] portal
 
* Parallelism and concurrency [[Parallel/Research|research]]
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* Concurrency [[Parallel/Research|research]]
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[[Category:GHC]]
 
[[Category:Concurrency]]

Revision as of 12:02, 9 May 2024

Note: you may want to read Parallelism vs. Concurrency, as the terms have historically been conflated.

This page contains notes and information about how to write concurrent programs in Haskell.

For practicality, the content is GHC-centric at the moment, although this may change as Haskell evolves.

Overview

GHC provides multi-scale support for concurrent programming, from very fine-grained, small tasks to coarse-grained explicit threads and locks, along with other models of concurrent programming including actors, CSP-style concurrency, and Intel Concurrent Collections. Synchronization between tasks is possible via messages, regular Haskell variables, MVar-based shared state or transactional memory.

Getting started

  1. Manage simultaneous I/O actions (eg. multiple connections on a web server)
    Start with Concurrent Haskell (forkIO, MVar)
    Learn more about concurrency, then try using network protocol libraries like HTTP or zeromq.
  2. Work with clusters or do distributed programming
    Look out for ongoing research into distributed Haskell.

Digging deeper

  • Software Transactional Memory (STM) is a newer way to coordinate concurrent threads. There's a separate Wiki page devoted to STM.
STM was added to GHC 6.4, and is described in the paper Composable memory transactions. The paper Lock-free data structures using STM in Haskell gives further examples of concurrent programming using STM.

GHC concurrency specifics

You get access to concurrency operations by importing the library Control.Concurrent.

Community

Tools

  • ThreadScope - concurrent programs not working as expected? Use the ThreadScope debugger and watch the fireworks.
  • Various libraries, including those for concurrency.

Documentation

Alternative approaches

  • CHP: CSP-style concurrency for Haskell.

See also