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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

Processes and message-passing

The maze of packages around Cloud Haskell may seem daunting. But to get started, we really need just two packages: distributed-process and distributed-process-simplelocalnet. The former package implements the core features of Cloud Haskell: nodes, processes, serialization, and message-passing. In particular, it doesn't provide any implementation for communication between nodes. That's what the latter package is for.

Cloud Haskell is modular in its communication layer. The distributed-process-simplelocalnet package provides simple, zero-configuration networking for Cloud Haskell nodes. It uses UDP broadcasting for node discovery, which is adequate for our testing purposes in this section. So let's get started. At the time of writing, distributed-process version 0.6.4 is the newest, so we'll be using that:

stack install --resolver lts-6.7 distributed-process distributed-process-simplelocalnet

The most important Cloud Haskell concept and type...

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