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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

Summary

In this chapter, we have walked very quickly through a big bunch of libraries in different application areas. New libraries are constantly developed, and current ones are being improved. Lists in this chapter should be taken only as a guideline. It's always a good idea to do a little research before using a new library. The Haskell-Cafe mailing list is a good place to be notified about new libraries and major new releases, and is relatively low traffic.

During the course of this book, we have navigated many topics that have hopefully helped you become a better Haskeller.

If you followed closely the first few chapters, you have a good working understanding of lazy evaluation and its traps. You can use seq, bang patterns, and pragmas where necessary. You know many high-performance data structures and are able to use them effectively. In the middle chapters, we learned to test and benchmark, that lazy I/O has drawbacks, to parallelize code, to do concurrency safely and to compile...

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