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

Parsing and pretty-printing


The libraries in this subsection are as follows:

  • parsec: Very featureful, general parser combinator library. Old and poorly maintained. Slower than attoparsec

  • attoparsec: Simple and fast parser combinator library. Fewer features than Parsec

  • megaparsec: A fork of Parsec, well maintained. Extremely flexible. Faster than Parsec but considerably slower than Attoparsec

  • happy / alex: Parser combinator libraries aimed towards parsing (programming language) grammars.

  • pcre-heavy: A reasonable regular-expression library.

Parsing is something that Haskell shines at. Applicative and monadic parser interfaces are really expressive. There are many awesome general-purpose parser libraries for Haskell. In general, the choice should be between Attoparsec and Megaparsec.

Attoparsec should be preferred as speed is critical; Megaparsec if features are more important. Attoparsec suits best for well-defined file formats, such as serialization. Megaparsec is a better choice when dealing with...