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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 13. Functional Reactive Programming

Functional Reactive Programming (FRP) is an elegant way to express behaviors that change over time, such as user interfaces or animation. From a theoretical point of view, behaviors are time-varying values. Using simple behaviors as building blocks, we can build increasingly complex behaviors: complete programs, UIs, games, and so on. Behaviors compose very well and eliminate lots of tedious and error-prone work that's present in the traditional imperative approach with actions and callbacks.

Though FRP has simple semantics, efficient implementation is largely an open question. Existing FRP implementations take different approaches with different trade-offs. In semantics, FRP is continuous, in other words, functions of the real numbers. In practice, we are forced to make approximations, either via sampling, using discrete semantics or some hybrid of continuous and discrete. The more theoretically minded reader is encouraged to glance...

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