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Haskell High Performance Programming Cover

Haskell High Performance Programming

Write Haskell programs that are robust and fast enough to stand up to the needs of today

Publisher:Packt Publishing Limited
By:   
Paid access
|Jan 2025
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Description

Boost the performance of your Haskell applications using optimization, concurrency, and parallel programming

Key Features

  • Explore the benefits of lazy evaluation, compiler features, and tools and libraries designed for high performance
  • Write fast programs at extremely high levels of abstraction
  • Work through practical examples that will help you address the challenges of writing efficient code

Book Description

Haskell, with its power to optimize the code and its high performance, is a natural candidate for high performance programming. It is especially well suited to stacking abstractions high with a relatively low performance cost. This book addresses the challenges of writing efficient code with lazy evaluation and techniques often used to optimize the performance of Haskell programs.
We open with an in-depth look at the evaluation of Haskell expressions and discuss optimization and benchmarking. You will learn to use parallelism and we'll explore the concept of streaming. We’ll demonstrate the benefits of running multithreaded and concurrent applications. Next we’ll guide you through various profiling tools that will help you identify performance issues in your program. We’ll end our journey by looking at GPGPU, Cloud and Functional Reactive Programming in Haskell. At the very end there is a catalogue of robust library recommendations with code samples.
By the end of the book, you will be able to boost the performance of any app and prepare it to stand up to real-world punishment.

What you will learn

  • Program idiomatic Haskell that s also surprisingly efficient
  • Improve performance of your code with data parallelism, inlining, and strictness annotations
  • Profile your programs to identify space leaks and missed opportunities for optimization
  • Find out how to choose the most efficient data and control structures
  • Optimize the Glasgow Haskell Compiler and runtime system for specific programs
  • See how to smoothly drop to lower abstractions wherever necessary
  • Execute programming for the GPU with Accelerate
  • Implement programming to easily scale to the cloud with Cloud Haskell

Who this book is for

To get the most out of this book, you need to have a working knowledge of reading and writing basic Haskell. No knowledge of performance, optimization, or concurrency is required.

Table of Contents

  1. Identifying Bottlenecks
  2. Choose the Correct Data Structures
  3. Profile and Benchmark to Your Heart's Content 30
  4. The Devil is in the Detail
  5. Parallelize for Performance
  6. I/O and Streaming
  7. Concurrency Performance
  8. Tweaking the Compiler and Runtime System
  9. GHC Internals and Code Optimizations
  10. Foreign Function Interface: Saving the Last CPU Cycle
  11. Programming for the GPU with Accelerate
  12. Scaling to the Cloud with Cloud Haskell
  13. Functional Reactive Programming
  14. Library recommendations
https://github.com/packtpublishing/haskell-high-performance-programming
PDF ISBN: 978-1-78646-691-4
Publisher: Packt Publishing Limited
Copyright owner: © 2016 Packt Publishing Limited
Publication date: 2025
Language: English
Pages: 408
Related subjects:
Computer sciences,
Programming and languages
BISAC subjects:
COM051000,
COM051230,
COM051280
Thema subjects:
UM,
UMX

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