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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

Parallel and concurrent programming


The libraries in this subsection are as follows:

  • Control.Concurrent (base): The basic concurrency primitives

  • parallel: Primitive parallel programming and parallel evaluation strategies

  • monad-par: Provides the Par and ParIO monads for simple pure and IO parallel programming

  • abstract-par, monad-par-extras: Add-on libraries to monad-par, that add extra combinators and a further abstraction layer over different Par implementations

  • repa: Data-parallel arrays

Parallel programming and the use and features of libraries parallel and monad-par is considered in Chapter 5, Parallelize for Performance. The RePa library is also featured in that chapter.

In short, the parallel library is used to express parallelism deterministically, and more importantly to separate parallelism from program logic. This enhances modularity and composition. The monad-par library, on the other hand, ties computation with its parallel evaluation, in return giving more control over how evaluation...

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