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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

Runtime System and threads


The GHC Runtime System comes in two flavors: threaded and non-threaded. For truly single-threaded applications, it's usually better to use the default non-threaded runtime, because there's more overhead in the threaded one. The non-threaded runtime features a scheduler for light-weight GHC threads (created via forkIO), providing for single-threaded concurrent programming.

Usually though, a concurrent program benefits from being multi-threaded – that is, using multiple CPU capabilities triggered via the -N<n> RTS flag when compiled with -threaded. The Runtime System creates one system thread for every capability and schedules light-weight threads to run in parallel on its system threads.

An important caveat with the non-threaded runtime is that if a light-weight thread has blocked a system call, the whole program will block. On the threaded runtime, GHC can schedule light-weight threads to run on other system threads while the other thread is blocked on a system...

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