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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
Languages
Tools
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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 (21) Chapters Close

Haskell High Performance Programming
Credits
About the Author
About the Reviewer
www.PacktPub.com
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

Handling sparse data


Vectors and arrays are excellent for dense data, that is, when you're not doing inserts in between elements, and the range of indices is reasonable. But if you need, for example, inserts and indexing in arbitrary indices, a tabular structure won't perform well. In such cases, you need some sort of a map or similar structure.

Haskell doesn't have any sparse structures built-in, nor does the Haskell report define any. This has some nice consequences:

  • Keeps the core language small

  • Gives Haskellers complete freedom over the implementation

  • Allows writing code that doesn't care much about the specific underlying data structure

There are many excellent libraries, implementing a wide range of sparse data structures, in Hackage, not to mention type classes capturing general properties of those structures. Unfortunately, the ecosystem is a bit too scattered, so it is sometimes hard to determine which library would give the best performance, cleanest code, and most flexibility, or whether...

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