Book Image

Haskell High Performance Programming

By : Samuli Thomasson
Book Image

Haskell High Performance Programming

By: Samuli Thomasson

Overview of this book

Haskell, with its power to optimize the code and its high performance, is a natural candidate for high performance programming. It is especially well suited to stacking abstractions high with a relatively low performance cost. This book addresses the challenges of writing efficient code with lazy evaluation and techniques often used to optimize the performance of Haskell programs. We open with an in-depth look at the evaluation of Haskell expressions and discuss optimization and benchmarking. You will learn to use parallelism and we'll explore the concept of streaming. We’ll demonstrate the benefits of running multithreaded and concurrent applications. Next we’ll guide you through various profiling tools that will help you identify performance issues in your program. We’ll end our journey by looking at GPGPU, Cloud and Functional Reactive Programming in Haskell. At the very end there is a catalogue of robust library recommendations with code samples. By the end of the book, you will be able to boost the performance of any app and prepare it to stand up to real-world punishment.
Table of Contents (21 chapters)
Haskell High Performance Programming
Credits
About the Author
About the Reviewer
www.PacktPub.com
Preface
Index

Benchmarking using the criterion library


Profiling aside, benchmarking the time a calculation takes to perform is a direct indicator of real-world performance. Benchmarking Haskell applications is pretty much dominated by the criterion library. There is a system called nofib, which is used to benchmark GHC itself, but for applications criterion is superior. Criterion even produces interactive web pages describing the results of benchmarks, which is a nice feature.

This text is written for criterion-1.1.1.0. Obviously, the criterion package needs to be installed:

cabal install criterion       # or: stack install criterion

A criterion benchmark suite is created as a normal Haskell program. An example is this:

–– file: benchmark.hs

import Criterion.Main
import Data.List (foldl')

main = defaultMain [
  bgroup "sum" [ bench "sum"    $ whnf sum            [1..1000000]
    , bench "foldr"  $ whnf (foldr (+) 0)  [1..1000000]
    , bench "foldl"  $ whnf (foldl (+) 0)  [1..1000000]
    , bench "foldl...