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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 7. Concurrency and Performance

Writing concurrent programs that are correct is hard: subtle race conditions, resources blocked by another thread, asynchronous exceptions, and so on. Basically, a lot can go wrong. Remember that, whereas parallelism points to execution model (multiple threads running simultaneously), concurrency is more like a paradigm: multiple threads working together, intertwined. However, concurrent threads are often run in parallel for responsiveness and performance reasons.

In this chapter, we will write concurrent Haskell programs making use of light-weight threads and type-safe concurrency primitives like MVars. For complex programs, we will learn to build atomic transactions with Software Transactional Memory (STM).

We will consider some models for concurrent programming: asynchronous workers and actors. And although asynchronous exceptions are usually to be avoided (like those from calls to error/undefined), asynchronous exceptions are useful for...

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