Parallel
From HaskellWiki
(Difference between revisions)
m (→Getting started) |
(→Getting started) |
||
| Line 12: | Line 12: | ||
#: ''Find out more about [[Concurrency|concurrency basics]]'' | #: ''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 [[ | + | #: 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. | #: Meanwhile look out for [[Parallel/Research|ongoing research]] into distributed Haskell. | ||
Revision as of 14:49, 20 April 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 (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.
2 Community
- Ask questions on Haskell Cafe
- See what parallel-haskell researchers and developers are working on
- Follow @parallelhaskell on Twitter
- StackOverflow on Haskell parallelism and concurrency
3 News
- 2011-03-17 Second SISCA Multicore Challenge - N body problem (registration deadline 18 May)
- 2011-03-31 Parallel Haskell Digest 1
4 Tools
- Threadscope - parallel programs not getting faster? Use the Threadscope debugger and watch sparks fly.
- Comprehensive list of Parallelism and Concurrency libraries
