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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 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

Heap profiling

From the profiling report (+RTS -p) we were able to infer how much different cost centres allocated space, along with a rough estimate of time spent in cost centres in total during the program's lifetime. What if we wanted to see how space usage varies across that lifetime? That would be useful to pinpoint space leaks that manifest themselves only at certain events.

GHC includes a heap profiler, which put simply snapshots heap usage at small fixed intervals and generates a time-dependent report in the form of a .hp file. To enable the heap profiler for an executable, the same -prof flag for GHC is enough. Some limited heap profiling is also supported when compiled without profiling. The same cost centres used for time and allocation profiling are also used for heap profiling, if the heap profile is generated or narrowed down based on cost centres.

To extract a heap report, we need to use some of the -h family of Runtime System options. Those options are as follows:

-h&lt...
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