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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

Summary


In this chapter, we have discussed the easiest way to increase GHC Haskell's performance: tweaking compiler and Runtime System flags. Enabling optimizations, compiling via LLVM, and enabling LLVM optimizations is a quick route to a usually very respectable performance. Although most of the time GHC's sophisticated, heuristic optimizations produce faster code, this is not always the case. Some optimizations produce slow and even incorrect code under certain situations. Unsafe functions in particular interact badly with many optimizations. Furthermore, eager inlining may produce very big binaries.

We discussed features in the Runtime System and how to enable and configure them. Light-weight (green) threads were cheap, scheduled by RTS, and enabled easy concurrent evaluation via sparks, but were limited with regard to foreign system calls. The parallel and generational garbage collector also had multiple tunable parameters to experiment with.

In the next chapter, we will learn to read...

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