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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

Generating Haskell with Haskell

If the power of GHC Generics is not enough, that is, you really need to generate code that isn't derivable from the structure of datatypes, the solution you're looking for is Template Haskell (TH). TH is much more sophisticated than the C preprocessor. With TH, one basically has the full power of Haskell at one's disposal for code-generation. Like Haskell, Template Haskell will not compile unless it produces at least syntactically correct code.

Code generation should be used sparingly. It is easy to write highly unmaintainable code using Template Haskell. On the other hand, code generation can be an easy route for incorporating non-trivial domain-specific optimizations into a Haskell program. Most often though, Template Haskell is used mostly to replace boilerplate code by code that generates that boilerplate.

Template Haskell code lives in the Q monad. Take a look at the following code block:

-- module Language.Haskell.TH

data Q a

-- instances...
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