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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

We started this chapter from GHC internal representation Core. We looked at the differences in Core syntax as opposed to Haskell syntax, among them explicit boxing, recursive bindings, explicit specialization and the passing of class dictionaries. Next, we took a glance at STG, the next internal representation after Core that's even simpler. Then we considered how GHC exposes its primitives: magic hash, unlifted types, and the unlifted kind.

Our second subject was code generation with GHC using GHC Generics. The essential idea with Generics is to represent every datatype as a sum of products using a handful of indexed datatypes (:+:, :*:, and so on). It then becomes easy to write general functions over all datatypes by converting to or from the general sum-of-products representation. Then we looked at full-blown code generation using Template Haskell, which enabled us to generate code, declarations and expressions by directly manipulating the program's abstract syntax tree...

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