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Samuli Thomasson - Haskell High Performance Programming

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Samuli Thomasson Haskell High Performance Programming
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Haskell High Performance Programming

Table of Contents
Haskell High Performance Programming

Haskell High Performance Programming

Copyright 2016 Packt Publishing

All rights reserved. No part of this book may be reproduced, stored in a retrieval system, or transmitted in any form or by any means, without the prior written permission of the publisher, except in the case of brief quotations embedded in critical articles or reviews.

Every effort has been made in the preparation of this book to ensure the accuracy of the information presented. However, the information contained in this book is sold without warranty, either express or implied. Neither the author, nor Packt Publishing, and its dealers and distributors will be held liable for any damages caused or alleged to be caused directly or indirectly by this book.

Packt Publishing has endeavored to provide trademark information about all of the companies and products mentioned in this book by the appropriate use of capitals. However, Packt Publishing cannot guarantee the accuracy of this information.

First published: September 2016

Production reference: 1190916

Published by Packt Publishing Ltd.

Livery Place

35 Livery Street

Birmingham B3 2PB, UK.

ISBN 978-1-78646-421-7

www.packtpub.com

Credits

Author

Samuli Thomasson

Reviewer

Aaron Stevens

Commissioning Editor

Kunal Parikh

Acquisition Editor

Sonali Vernekar

Content Development Editor

Priyanka Mehta

Technical Editor

Ravikiran Pise

Copy Editor

Safis Editing

Project Coordinator

Izzat Contractor

Proofreader

Safis Editing

Indexer

Tejal Daruwale Soni

Graphics

Abhinash Sahu

Production Coordinator

Melwyn Dsa

Cover Work

Melwyn Dsa

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.

I am grateful to my awesome friends, who have stuck around and provided their support during the writing process, and my family for always being there and their understanding.

About the Reviewer

Aaron Stevens is a scientific software engineer with Molex LLC in Little Rock, Arkansas, where he combines his passion for programming with his education in electrical systems engineering to develop innovative techniques to characterize high-speed electronics in the lab and in production. He specializes in signal processing, statistical process-control methods, and application construction in Python and C#, and he enjoys discovering new methods to explore complex data sets through rich visualizations.

Away from the office, Aaron enjoys practicing with a variety of programming languages, studying linguistics, cooking, and spending time with his family. He received his BS in mathematics and BS in electrical systems engineering from the University of Arkansas in Little Rock.

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Preface

Haskell is an elegant language. It allows us to express in code exactly what we mean, in a clean and compact style. The nice features, including referential transparency and call-by-need evaluation, not only help the programmer be more efficient, but also help Haskell compilers to optimize programs in ways that are otherwise plain impossible. For example, the garbage collector of GHC is notoriously fast, not least thanks to its ability to exploit the immutability of Haskell values.

Unfortunately, high expressivity is a double-edged sword. Reasoning the exact order of evaluation in Haskell programs is, in general, not an easy task. A lack of understanding of the lazy call-by-need evaluation in Haskell will for sure lead the programmer to introduce space leaks sooner or later. A productive Haskell programmer not only has to know how to read and write the language, which is a hard enough skill to achieve in itself, they also need to understand a new evaluation schema and some related details. Of course, in order to not make things too easy, just knowing the language well will not get you very far. In addition, one has to be familiar with at least a few common libraries and, of course, the application domain itself.

This book will give you working knowledge of high-performance Haskell programming, including parallelism and concurrency. In this book, we will cover the language, GHC, and the common libraries of Haskell.

What this book covers

, Identifying Bottlenecks , introduces you to basic techniques for optimal evaluation and avoiding space leaks.

, Choose the Correct Data Structures , works with and optimizes both immutable and mutable data structures.

, Profile and Benchmark to Your Heart's Content , profiles Haskell programs using GHC and benchmarking using Criterion.

, The Devil's in the Detail , explains the small details that affect performance in Haskell programs, including code sharing, specializing, and simplifier rules.

, Parallelize for Performance , exploits parallelism in Haskell programs using the RePa library for data parallelism.

, I/O and Streaming , talks about the pros and cons of lazy and strict I/O in Haskell and explores the concept of streaming.

, Concurrency Performance , explores the different aspects of concurrent programming, such as shared variables, exception handling, and software-transactional memory.

, Tweaking the Compiler and Runtime System , chooses the optimal compiler and runtime parameters for Haskell programs compiled with GHC.

, GHC Internals and Code Optimizations , delves deeper into the compilation pipeline, and understands the intermediate representations of GHC.

, Foreign Function Interface , calls safely to and from C in Haskell using GHC and its FFI support.

, Programming for the GPU with Accelerate , uses the Accelerate library to program backend-agnostic GPU programs and executes on CUDA-enabled systems.

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