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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 worked with three different approaches to FRP: Elerea, with its safe monadic interface and discrete-only signals; Yampa and its first-class signal functions; and finally, Reactive-banana and its safe and simple hybrid semantics. Implementation differences are rather radical, but the theoretical FRP basis is still the same: model values as functions of time and include discrete events. It's also characteristic that interaction with the outside world, input and output, is more or less separated from application logic. Recursion is an important technique in FRP. For proper value recursion of monadically retrieved values in Haskell, the MonadFix class along with mfix or RecursiveDo is a must and often encountered in Haskell FRP code.

The next and final chapter will comprise a collection of robust, extensively tested and production-ready Haskell libraries for more different and less general use. It's an unfortunate fact in the Haskell ecosystem that...

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