Parallel and Concurrent Programming in Haskell: Techniques for Multicore and Multithreaded Programming [NOOK Book]

Overview

If you have a working knowledge of Haskell, this hands-on book shows you how to use the language’s many APIs and frameworks for writing both parallel and concurrent programs. You’ll learn how parallelism exploits multicore processors to speed up computation-heavy programs, and how concurrency enables you to write programs with threads for multiple interactions.

Author Simon Marlow walks you through the process with lots of code examples that you can run, experiment with, and ...

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Parallel and Concurrent Programming in Haskell: Techniques for Multicore and Multithreaded Programming

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Overview

If you have a working knowledge of Haskell, this hands-on book shows you how to use the language’s many APIs and frameworks for writing both parallel and concurrent programs. You’ll learn how parallelism exploits multicore processors to speed up computation-heavy programs, and how concurrency enables you to write programs with threads for multiple interactions.

Author Simon Marlow walks you through the process with lots of code examples that you can run, experiment with, and extend. Divided into separate sections on Parallel and Concurrent Haskell, this book also includes exercises to help you become familiar with the concepts presented:

  • Express parallelism in Haskell with the Eval monad and Evaluation Strategies
  • Parallelize ordinary Haskell code with the Par monad
  • Build parallel array-based computations, using the Repa library
  • Use the Accelerate library to run computations directly on the GPU
  • Work with basic interfaces for writing concurrent code
  • Build trees of threads for larger and more complex programs
  • Learn how to build high-speed concurrent network servers
  • Write distributed programs that run on multiple machines in a network
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Product Details

  • ISBN-13: 9781449335908
  • Publisher: O'Reilly Media, Incorporated
  • Publication date: 7/12/2013
  • Sold by: Barnes & Noble
  • Format: eBook
  • Edition number: 1
  • Pages: 322
  • File size: 3 MB

Meet the Author

Simon Marlow has been a prominent figure in the Haskell community formany years. He is the author of large parts of the Glasgow HaskellCompiler, including in particular its highly regarded mulitcoreruntime system, along with many of the libraries and tools thatHaskell programmers take for granted. Simon also contributes to thefunctional programming research community, and has a string of paperson subjects ranging from garbage collection to language design. Inrecent years Simon's focus has been on making Haskell an idealprogramming language for parallel and concurrent applications, both bydeveloping new programming models and building a high-qualityimplementation.

Simon spent 14 years at Microsoft's Research laborotory in Cambridge,before taking a break in Spring 2013 to work on this book. Hecurrently works at Facebook UK.

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Table of Contents

PrefaceChapter 1: IntroductionParallel HaskellChapter 2: Basic Parallelism: The Eval MonadChapter 3: Evaluation StrategiesChapter 4: Dataflow Parallelism: The Par MonadChapter 5: Data Parallel Programming with RepaChapter 6: GPU Programming with AccelerateConcurrent HaskellChapter 7: Basic Concurrency: Threads and MVarsChapter 8: Overlapping Input/OutputChapter 9: Cancellation and TimeoutsChapter 10: Software Transactional MemoryChapter 11: Higher-Level Concurrency AbstractionsChapter 12: Concurrent Network ServersChapter 13: Parallel Programming Using ThreadsChapter 14: Distributed ProgrammingChapter 15: Debugging, Tuning, and Interfacing with Foreign CodeColophon

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