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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
Languages
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Author (1):
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 Thomasson Thomasson
Author Profile Icon Thomasson
Thomasson
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Table of Contents (21) Chapters Close

Haskell High Performance Programming
Credits
About the Author
About the Reviewer
www.PacktPub.com
Preface
1. Identifying Bottlenecks FREE CHAPTER 2. Choosing the Correct Data Structures 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


In this chapter we have covered the advantages and disadvantages of lazy I/O and its alternatives: strict I/O and some streaming solutions. We learned to connect to remote network endpoints as clients and to write own network servers in Haskell. We also learned that acquired I/O resources such as handles and sockets must always be freed. For this, we considered two main solutions: functions such as bracket and the ResourceT monad transformer.

After reading this chapter you should now understand and be able to use lazy I/O without surprising memory leaks and correctly release all acquired resources as well as exceptions. You know and can use three streaming libraries: rudimentary io-streams, elegant pipes, and industrial conduits. You are also bound to enjoy doing logging from your Haskell programs with FastLogger and monads with monad-logger.

In the next chapter, we will focus on concurrent programming in Haskell. Light-Lightweight GHC threads give a lot of flexibility for the concurrent...

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