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Concurrency demos

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Line 20: Line 20:
cut :: (Integral a) => (a, a) -> a -> [(a, a)]
cut :: (Integral a) => (a, a) -> a -> [(a, a)]
-
cut (x,y) n =
+
cut (x,y) n = (x, x + mine - 1) : cut' (x + mine) size (y - mine)
-
(x, x + mine - 1) : cut' (x + mine) size (y - mine)
+
where
where
(size, modulo) = y `divMod` n
(size, modulo) = y `divMod` n

Revision as of 13:51, 28 November 2006


A large range of small demonstration programs for using concurrent and

parallel Haskell are in the Haskell concurrency regression tests. In particular, they show the use of
MVars
and
forkIO
.

A simple example of parallelism in Haskell

This little piece of code computes an approximation of Riemann's zeta function, balancing the work to be done between N threads. 

import Control.Concurrent
import Control.Concurrent.MVar
import Control.Monad
import Data.Complex
import System.Environment
 
zetaRange :: (Floating (Complex a), RealFloat a, Integral b) => Complex a -> (b, b) -> Complex a
zetaRange s (x,y) = sum [ (fromIntegral n :+ 0) ** (-s) | n <- [x..y] ]
 
cut :: (Integral a) => (a, a) -> a -> [(a, a)]
cut (x,y) n = (x, x + mine - 1) : cut' (x + mine) size (y - mine)
 where
  (size, modulo) = y `divMod` n
  mine = size + modulo
 
  cut' _ _ 0  = []
  cut' x' size' n' = (x', x' + size' - 1) : cut' (x' + size') size' (n' - size') 
 
getParams :: IO (Int, Int, Complex Double)
getParams = do
  argv <- getArgs
  case argv of
    (t:n:s:[]) -> return (read t, read n, read s)
    _ -> error "usage: zeta <nthreads> <boundary> <s>"
 
main :: IO ()
main = do
  (t, n, s) <- getParams
  childs <- zipWithM thread (repeat s) (cut (1, n) t)
  results <- mapM takeMVar childs
  print $ sum results
  where
    thread s range = do
      putStrLn $ "Starting thread for range " ++ show range
      mvar <- newEmptyMVar
      forkIO (putMVar mvar (zetaRange s range))
      return mvar
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