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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 FREE CHAPTER 2. Choosing the Correct Data Structures 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

Trivia at term-level


In this section, we look at lazy patterns, using the magic hash, controlling inlining and using rewrite rules. These are small things used rarely in applications, but nevertheless are very convenient where applicable.

We'll start with lazy patterns. Where strict pattern annotations use bangs and mean "Evaluate this argument to WHNF immediately," lazy pattern annotations use tildes and imply "Don't even bother pattern-matching unless a binding is really requested." So this errors:

> let f (a,b) = 5
> f undefined
*** Exception: Prelude.undefined

But with a lazy pattern match, we are all okay:

> let f ~(a,b) = 5
> f undefined
5

A more realistic use case for lazy patterns is the classic server-client setting. The client makes requests sequentially and can change the request based on previous responses. We can express this in Haskell elegantly with just linked lists. The server is slightly simpler than the client: it just applies a computation on every request...

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