Haskell High Performance Programming

Samuli Thomasson

ISBN 10: 1786464217 / ISBN 13: 9781786464217

Verlag: Packt Publishing Limited, GB, 2016

Beschreibung

Boost the performance of your Haskell applications using optimization, concurrency, and parallel programmingAbout This Book. 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 codeWho This Book Is ForTo 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.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 HaskellIn DetailHaskell, 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.Style and approachThis easy-to-follow guide teaches new practices and techniques to optimize your code, and then moves towards more advanced ways to effectively write efficient Haskell code. Small and simple practical examples will help you test the concepts yourself, and you will be able to easily adapt them for any application.

Bestandsnummer des Verkäufers LU-9781786464217

Bibliografische Details

• Titel: Haskell High Performance Programming
• Verlag: Packt Publishing Limited, GB
• Erscheinungsjahr: 2016
• Sprache: Englisch
• ISBN-10: 1786464217
• ISBN-13: 9781786464217
• Einband: Paperback
• Zustand: New

Über diesen Titel

Inhaltsangabe

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

About the Author

Samuli Thomasson is a long-time functional programming enthusiast from Finland who has used Haskell extensively, both as a pastime and commercially, for over four years. He enjoys working with great tools that help in getting things done nice and fast.

His current job at RELEX Solutions consists of providing technical solutions to a variety of practical problems. Besides functional programming, Samuli is interested in distributed systems, which he also studies at the University of Helsinki.

Table of Contents

1. Identifying Bottlenecks
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

Über die Autorin bzw. den Autor

Samuli Thomasson is a long-time functional programming enthusiast from Finland who has used Haskell extensively, both as a pastime and commercially, for over four years. He enjoys working with great tools that help in getting things done nice and fast. His current job at RELEX Solutions consists of providing technical solutions to a variety of practical problems. Besides functional programming, Samuli is interested in distributed systems, which he also studies at the University of Helsinki.