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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

Profile and monitor in real time

The heap profile report file <program>.hp is generated as the program executes, so it's perfectly fine to take a snapshot of the file at any time and visualize it with hp2ps, even if the program is still busy executing. Because very basic heap profiling (-hT) is possible without having compiled with profiling support, it is possible to produce running heap profiles with a very small overhead.

Increasing the sample interval -i to something relatively big, such as a couple of seconds, it is very feasible to extract heap profiles from long-running programs even in production environments.

A quick-and-dirty trick that isn't for the light-hearted is the -S Runtime System option. This option prints garbage collector statistics every time a cleanup takes place, in realtime. This includes bytes allocated, bytes copied, bytes live, time elapsed, and how long the garbage collector took. To make some sense of the output, it might make sense to limit the...

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