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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

Chapter 6. I/O and Streaming

I/O in Haskell is a source of confusion for many. The I/O functions in the base library are lazy and allow the interleaving of I/O side effects with pure code. This produces weird errors at runtime or, even worse, just incorrect behavior without errors. On the other hand, interleaved side-effects allow easy file processing in constant space, among other things. Fortunately, more robust alternatives for streaming have been proposed and implemented as libraries.

In this chapter, we will learn to use some of the most popular streaming libraries. But before that, we will tear down problems with lazy I/O, because it's still often the easiest and most elegant way to do I/O. We will also consider an alternative to lazy I/O, strict I/O.

The I/O we do in this chapter consists of standard input and output, file handles, and network sockets. These cover almost all I/O that's possible in Haskell (we don't do foreign interfaces in this chapter). Resource...

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