Name: Parallel and Concurrent Programming in Haskell: Techniques for Multicore and Multithreaded Programming (en Inglés)
Price: 55640.00 CLP
Availability: InStock
Author: Marlow, Simon
ISBN: 9781449335946

portada Parallel and Concurrent Programming in Haskell: Techniques for Multicore and Multithreaded Programming (en Inglés)

Parallel and Concurrent Programming in Haskell: Techniques for Multicore and Multithreaded Programming (en Inglés)

Formato

Libro Físico

Autor

Simon Marlow

Editorial

O'Reilly Media

Año

2013

Idioma

Inglés

N° páginas

322

Encuadernación

Tapa Blanda

Dimensiones

24.1 x 17.1 x 1.8 cm

Peso

0.51 kg.

ISBN13

9781449335946

N° edición

Categorías

Lenguajes de programación y extensión/scripting: general
Sistemas distribuidos

Parallel and Concurrent Programming in Haskell: Techniques for Multicore and Multithreaded Programming (en Inglés)

Simon Marlow (Autor) · O'Reilly Media · Tapa Blanda

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Reseña del libro "Parallel and Concurrent Programming in Haskell: Techniques for Multicore and Multithreaded Programming (en Inglés)"

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 StrategiesParallelize ordinary Haskell code with the Par monadBuild parallel array-based computations, using the Repa libraryUse the Accelerate library to run computations directly on the GPUWork with basic interfaces for writing concurrent codeBuild trees of threads for larger and more complex programsLearn how to build high-speed concurrent network serversWrite distributed programs that run on multiple machines in a network