|Version 3 (modified by simonpj, 9 years ago) (diff)|
Concurrent programming in GHC
This page contains notes and information about how to write concurrent programs in GHC.
Please feel free to add stuff here (login guest, password guest).
- Basic concurrency: forkIO and MVars. Read Tackling the awkward squad: monadic input/output, concurrency, exceptions, and foreign-language calls in Haskell. The original paper about Concurrent Haskell contains quite a few examples about how to write concurrent programs. A larger example is
- Software Transactional Memory (STM) is a new way to coordinate concurrent threads. STM will be in GHC 6.6, and is described in the paper Composable memory transactions. The paper Lock-free data structures using Software Transactional Memory in Haskell gives further examples of concurrent programming using STM.
- Foreign function interface. If you are calling foreign functions in a concurrent program, you need to know about bound threads. They are described in a Haskell workshop paper, Extending the Haskell Foreign Function Interface with Concurrency.
Using concurrency in GHC
- You get access to concurrency operations by importing the library Control.Concurrent.
- The GHC manual gives a few useful flags that control scheduling (not usually necessary) RTS options.
As of version 6.5, GHC supports running programs in parallel on an SMP or multi-core machine. How to do it:
- You'll need to get a version of GHC that supports SMP. Either download ghc from CVS or use darcs: darcs get --partial http://darcs.haskell.org/ghc. There are also nightly snapshot distributions available.
- All code currently has to be built using the -smp switch, including the libraries. If you downloaded a binary snapshot, then you already have the required libraries. If you build GHC from source, you need to add
GhcLibWays += sto the file mk/build.mk in the build tree before building.
- Compile your program with -smp
- Run the program with +RTS -N2 to use 2 threads, for example. You should use a -N value equal to the number of CPU cores on your machine (not including Hyper-threading cores).
- Concurrent threads (forkIO and forkOS) will run in parallel, and you can also use the par combinator and Strategies from the Control.Parallel.Strategies module to create parallelism.
- Use +RTS -sstderr for timing stats.