BIBLIO is the largest independent book marketplace in the world, with over 100 million books.

Skip to content

Parallel and Concurrent Programming in Haskell: Techniques for Multicore and Multithreaded Programming [Paperback] Marlow, Simon

Parallel and Concurrent Programming in Haskell: Techniques for Multicore and Multithreaded Programming [Paperback] Marlow, Simon

Parallel and Concurrent Programming in Haskell: Techniques for Multicore and
Stock photo: cover may vary

Parallel and Concurrent Programming in Haskell: Techniques for Multicore and Multithreaded Programming [Paperback] Marlow, Simon Paperback - 2013

by Simon Marlow

Add to wish list
  • Used
  • Paperback
New

Description

O'Reilly Media, 2013-08-18. Paperback. Like New. 0x0x0.
Ask the seller a question Add to wish list
A$49.32
A$5.77 Delivery within USA
Standard delivery: 4 to 14 days
More delivery options
Dropship order
Ships from Mediaoutletdeal1 (Virginia, United States)

Details

About Mediaoutletdeal1 Virginia, United States

Biblio member since 2014

Terms of Sale:

30 day return guarantee, with full refund including original shipping costs for up to 30 days after delivery if an item arrives misdescribed or damaged.

Browse books from Mediaoutletdeal1

Reader reviews for Parallel and Concurrent Programming in Haskell: Techniques for Multicore and Multithreaded Programming [Paperback] Marlow, Simon

From the publisher

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
tracking-