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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

Reading, writing, and handling resources


Although it's a common joke that because Haskell is a pure language, we couldn't observe its effects, Haskell actually has very powerful and sophisticated facilities for interacting with the outside world. Besides reading and writing to files and network sockets, I/O affiliates to managing resources that provide for input and output.

In this section, we will first point out laziness in Haskell I/O, doing networking with low-level sockets, and consider managing handles and resources.

Traps of lazy I/O

Lazy I/O allows pure functions to be interleaved with I/O actions arbitrarily. It is important to know when an I/O action defers its action part for later. To demonstrate how easy it is to fall prey to lazy I/O, consider this innocent-looking file manipulation procedure:

-- file: readwrite.hs

main = do
    writeFile "file.txt" "old"
    old <- readFile "file.txt"
    writeFile "file.txt" "new"
    putStrLn old

However, running this code produces an error...

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