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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

Summary

In this chapter, we have learned to build distributed systems using the Cloud Haskell platform: launching nodes and processes, communicating via direct message passing between processes and with more flexible typed channels, passing remotely executed procedures in closures, and handling failure with process linking and monitoring. You now know how to build distributed systems with Cloud Haskell.

The next chapter will be about Functional Reactive Programming (FRP) and related Haskell libraries. Reactive programming, and especially FRP, challenges prevalent imperative control flow by a different notion of time. In imperative animation, for instance, timing is more or less implicit in the code, whereas in FRP, time would be just one more argument or input to an animation system. Reactive programming extends beyond just animation, though.

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