# Benchmarks Game/Parallel/BinaryTrees

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$ ghc -O2 --make -fasm -threaded Parallel.hs | $ ghc -O2 --make -fasm -threaded Parallel.hs | ||

$ ./Parallel 20 +RTS -N5 -A350M | $ ./Parallel 20 +RTS -N5 -A350M | ||

+ | |||

+ | This is a version of the Haskell GHC binary-trees benchmark, annotated for parallelism, using parallel strategy combinators. | ||

+ | When compiled with the -threaded flag, and run with +RTS -N5 -RTS, it will exploit all cores on the quad-core machine, | ||

+ | dramatically reducing running times. | ||

+ | |||

+ | On my quad core, running time goes from, | ||

+ | |||

+ | * single core, 26.997s | ||

+ | * quad core, 5.692s | ||

+ | |||

+ | The following flags should be used: | ||

+ | |||

+ | Compile time: | ||

+ | |||

+ | ghc -O2 -fasm --make Parallel2.hs -threaded | ||

+ | |||

+ | Runtime: | ||

+ | |||

+ | ./Parallel2 20 +RTS -N5 -A350M -RTS | ||

+ | |||

+ | The -N5 flag asks the Haskell runtime to use 5 capabilites, which map onto the underlying cores. | ||

+ | |||

+ | Here is the result on my quad core, | ||

+ | |||

+ | $ time ./Parallel2 20 +RTS -N5 -A350M -RTS | ||

+ | stretch tree of depth 21 check: -1 | ||

+ | 2097152 trees of depth 4 check: -2097152 | ||

+ | 524288 trees of depth 6 check: -524288 | ||

+ | 131072 trees of depth 8 check: -131072 | ||

+ | 32768 trees of depth 10 check: -32768 | ||

+ | 8192 trees of depth 12 check: -8192 | ||

+ | 2048 trees of depth 14 check: -2048 | ||

+ | 512 trees of depth 16 check: -512 | ||

+ | 128 trees of depth 18 check: -128 | ||

+ | 32 trees of depth 20 check: -32 | ||

+ | long lived tree of depth 20 check: -1 | ||

+ | ./Parallel2 20 +RTS -N5 -A350M -RTS 15.80s user 1.52s system 304% cpu 5.692 total | ||

+ | |||

+ | Which is a satisfying result, as the parallelisation strategy is super simple. | ||

+ | |||

+ | |||

+ | Code: | ||

<haskell> | <haskell> |

## Revision as of 23:19, 7 September 2008

## 1 Binary Trees

### 1.1 Parallel Strategies: parMap

- Status: submitted.

Flags:

$ ghc -O2 --make -fasm -threaded Parallel.hs $ ./Parallel 20 +RTS -N5 -A350M

This is a version of the Haskell GHC binary-trees benchmark, annotated for parallelism, using parallel strategy combinators. When compiled with the -threaded flag, and run with +RTS -N5 -RTS, it will exploit all cores on the quad-core machine, dramatically reducing running times.

On my quad core, running time goes from,

* single core, 26.997s * quad core, 5.692s

The following flags should be used:

Compile time:

ghc -O2 -fasm --make Parallel2.hs -threaded

Runtime:

./Parallel2 20 +RTS -N5 -A350M -RTS

The -N5 flag asks the Haskell runtime to use 5 capabilites, which map onto the underlying cores.

Here is the result on my quad core,

$ time ./Parallel2 20 +RTS -N5 -A350M -RTS stretch tree of depth 21 check: -1 2097152 trees of depth 4 check: -2097152 524288 trees of depth 6 check: -524288 131072 trees of depth 8 check: -131072 32768 trees of depth 10 check: -32768 8192 trees of depth 12 check: -8192 2048 trees of depth 14 check: -2048 512 trees of depth 16 check: -512 128 trees of depth 18 check: -128 32 trees of depth 20 check: -32 long lived tree of depth 20 check: -1 ./Parallel2 20 +RTS -N5 -A350M -RTS 15.80s user 1.52s system 304% cpu 5.692 total

Which is a satisfying result, as the parallelisation strategy is super simple.

Code:

{-# OPTIONS -fbang-patterns -funbox-strict-fields #-} -- -- The Computer Language Shootout -- http://shootout.alioth.debian.org/ -- -- Contributed by Don Stewart and Thomas Davie -- -- This implementation uses a parallel strategy to exploit the quad core machine. -- For more information about Haskell parallel strategies, see, -- -- http://www.macs.hw.ac.uk/~dsg/gph/papers/html/Strategies/strategies.html -- import System import Data.Bits import Text.Printf import Control.Parallel.Strategies import Control.Parallel -- -- an artificially strict tree. -- -- normally you would ensure the branches are lazy, but this benchmark -- requires strict allocation. -- data Tree = Nil | Node !Int !Tree !Tree minN = 4 io s n t = printf "%s of depth %d\t check: %d\n" s n t main = do n <- getArgs >>= readIO . head let maxN = max (minN + 2) n stretchN = maxN + 1 -- stretch memory tree let c = check (make 0 stretchN) io "stretch tree" stretchN c -- allocate a long lived tree let !long = make 0 maxN -- allocate, walk, and deallocate many bottom-up binary trees let vs = (parMap rnf) (depth' maxN) [minN,minN+2..maxN] mapM_ (\((m,d,i)) -> io (show m ++ "\t trees") d i) vs -- confirm the the long-lived binary tree still exists io "long lived tree" maxN (check long) -- generate many trees depth' :: Int -> Int -> (Int,Int,Int) depth' m d = (2*n,d,sumT d n 0) where n = 1 `shiftL` (m - d + minN) -- allocate and check lots of trees sumT :: Int -> Int -> Int -> Int sumT d 0 t = t sumT d i t = sumT d (i-1) (t + a + b) where a = check (make i d) b = check (make (-i) d) -- traverse the tree, counting up the nodes check :: Tree -> Int check Nil = 0 check (Node i l r) = i + check l - check r -- build a tree make :: Int -> Int -> Tree make i 0 = Node i Nil Nil make i d = Node i (make (i2-1) d2) (make i2 d2) where i2 = 2*i; d2 = d-1