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Haskell High Performance Programming

You're reading from   Haskell High Performance Programming Write Haskell programs that are robust and fast enough to stand up to the needs of today

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Product type Paperback
Published in Sep 2016
Publisher Packt
ISBN-13 9781786464217
Length 408 pages
Edition 1st Edition
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Author (1):
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Samuli Thomasson Samuli Thomasson
Author Profile Icon Samuli Thomasson
Samuli Thomasson
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Table of Contents (16) Chapters Close

Preface 1. Identifying Bottlenecks 2. Choosing the Correct Data Structures FREE CHAPTER 3. Profile and Benchmark to Your Heart's Content 4. The Devil's in the Detail 5. Parallelize for Performance 6. I/O and Streaming 7. Concurrency and Performance 8. Tweaking the Compiler and Runtime System (GHC) 9. GHC Internals and Code Generation 10. Foreign Function Interface 11. Programming for the GPU with Accelerate 12. Scaling to the Cloud with Cloud Haskell 13. Functional Reactive Programming 14. Library Recommendations Index

The anatomy of a Haskell project


A typical Haskell project consists of one or several of the following sections:

  • Library (modules); A no-brainer for library authors. But most applications are also structured so that most code resides in distinct modules.

  • One or more executables.

  • Tests and benchmarks.

  • Other source files and assets.

All of these are supported by Cabal. Starting with a new project from scratch, we can use cabal init to create a .cabal file with basic information such as the package name and maintainer details already filled in. Moreover, if you already have a bunch of Haskell source files in your working directory, then Cabal will add those to the .cabal file and even guess package dependencies for you.

The structure often found in projects that have both a library and an executable is to place library code and the executable's source files under different subdirectories. If we have a single library module, dubbed Lib, and a main, the structure would be:

some-package/
   src/Lib.hs...
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