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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

Diagnosing parallelism – ThreadScope


Next we will look at a program visualization tool, ThreadScope. Install the threadscope executable with:

stack install threadscope

To extract the eventlog that ThreadScope uses from a Haskell program, we need to compile with -eventlog and execute with the -l Runtime System option. Running the program then generates a program.eventlog file, which ThreadScope reads. In a convenient single recipe, we lay out these commands:

ghc -O2 -threaded -eventlog -with-rtsopts="-N -l" program.hs

./program

threadscope program.eventlog

ThreadScope provides a graphical user interface. The opening view shows processor core utilization. An example view from some eventlog is:

Along with total utilization, we can see the work split on all processors (four in this case). What we also see in this graph, below each core utilization, is that there is GC activity. The program actually pauses quite often just to do GC for a split second. Sometimes such scenarios might require further...

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