Parallel and Concurrent Programming in Haskell
Language: English
Published by O?Reilly Media, 2013
- First Edition
- Softcover
- New

Seller: Kennys Bookshop and Art Galleries Ltd., Galway, GY, IrelandKennys Bookshop and Art Galleries Ltd.
AbeBooks seller since February 27, 2001
Condition: New
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2013. 1st Edition. Paperback. If you have a working knowledge of Haskell, this book shows you how to use the language's many APIs and frameworks for writing 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. Num Pages: 322 pages, illustrations (black and white). BIC Classification: UMJ; UMX. Category: (P) Professional & Vocational; (XV) Technical / Manuals. Dimension: 179 x 232 x 17. Weight in Grams: 562. . . . . .
Seller Inventory # V9781449335946
- Title
- Parallel and Concurrent Programming in Haskell
- Author
- Simon Marlow
- Publisher
- O?Reilly Media
- Publication year
- 2013
- Condition
- New
- Binding
- Soft cover
- Language
- English
- ISBN 10
- 1449335942
- ISBN 13
- 9781449335946
- Edition
- 1st Edition
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
"Synopsis" may belong to another edition of this title.
About the Author
Simon spent 14 years at Microsoft's Research laborotory in Cambridge, before taking a break in Spring 2013 to work on this book. He currently works at Facebook UK.
"About the title" may belong to another edition of this title.
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