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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

The tiny discrete-time Elerea

In order to not feel overwhelmed, we'll begin with one of the simplest formulations of FRP, Elerea. Elerea is a very minimalist implementation, which restricts itself to discrete-time semantics and sampling. There are no events and everything is computed on demand only. Furthermore, the API consists of high-level constructs so that it's exceedingly difficult to shoot yourself in the foot with this library.

Time-varying values of type a are represented as Signal a in Elerea:

data Signal a
-- instances incl. Monad, Eq

Signals can be thought of as functions Nat → a, though obviously they are represented differently.

Signals are made inside signal generators, SignalGen a:

data SignalGen a
-- instances incl. Monad, MonadFix, MonadIO

Signal generators have a MonadFix instance, which will later allow us to build mutually recursive signals.

The minimal API provides just a few signal building blocks. Excluding some trivial extensions, the core combinators...

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