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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

Control and utility libraries


The libraries in this subsection are as follows:

  • conduit, io-streams, and pipes: General streaming libraries, that avoid problems with lazy IO

  • lens: Solving the "nested record update" problem in a "batteries included" fashion

  • convertible: Conversions between types using a single function without information loss

  • basic-prelude, classy-prelude: Prelude alternatives that encourage best practices in modern Haskell

  • chunked-data: Class abstractions to different builders, zipping, and reading and writing to files and handles

Streaming libraries are generally aimed at countering problems with lazy IO. Refer to Chapter 6, I/O and Streaming, for an in-depth discussion about problems with lazy IO and Haskell streaming libraries.

Using lenses

Lenses can be thought of as a generalization of getters and setters that compose well. A sore point of vanilla Haskell is nested record updates. The syntax is not very nice, for instance, this:

update rec new_c = rec { field_c = (field_c rec...
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