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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

Chapter 4. The Devil's in the Detail

In this chapter, we pull together knowledge and techniques from previous chapters and learn to apply those techniques in large and complex projects. In particular, we will use cabal-install and stack to help us cope with multi-file projects and even projects with multiple subprojects. We learn how, and especially how not, to throw and recover from exceptions in Haskell.

Having good test coverage is as important in a Haskell project as it is in projects written in any other language. But because Haskell's type-system is so expressive, the number of necessary test cases is greatly reduced. Also, new extensions for the type-system in GHC are constantly being experimented with. Consequently, there is a bunch of language extensions considered more or less experimental, and some extensions are just not enabled by default yet in the current standard (Haskell 2010).

This chapter concludes the first part of this book. Already from the three...

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