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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 started by looking at light-weight threads and forkIO. Closely related to this, we looked at mutable references IORef and MVar in concurrent settings. Atomic operations on those reference types were quite limited, which is why we next dived into STM for arbitrarily complex transactions. Then we considered a nice higher-level abstraction over an asynchronous program, the Async API. One of the main benefits of using Async is easy and automatic cancellation of asynchronous jobs. Finally, we lifted concurrency operations into complex monad stacks.

In the next chapter, we will take a deeper look at the Runtime System, scheduling, and garbage collection. We will look at what options there are to tweak both the compiler and the Runtime System. We will learn how the GHC compilation pipeline works and how to read the intermediate core language that GHC produces just enough to spot possibly missed optimizations.

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