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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

Profiling time and allocations

Profiling in the presence of lazy evaluation does not differ much from profiling always-strict programs. The profiler that comes with GHC assigns time and space usages to cost centres. Cost centres annotate expressions, and can be set either manually or automatically by GHC. Cost centres can occur enclosed in other cost centres recursively, forming cost centre stacks. All time and space costs accumulate in each enclosing cost centre.

Cost centres can be set manually via annotations, or automatically by GHC via compiler flags. Depending on how often the cost centre is entered, the choice of cost centre can have a big impact on overall execution time. Fortunately, allocation profiling is not affected by chosen cost centers.

Setting cost centres manually

Let's start our profiling journey with a basic example. The following program uses the simple moving average function we wrote in the first chapter:

-- file: prof-basics.hs

sma :: [Double] -> [Double]
sma...
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