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

Description: FREE SHIPPING UK WIDE Parallel and Concurrent Programming in Haskell by Simon Marlow If you have a working knowledge of Haskell, this book shows you how to use the languages many APIs and frameworks for writing parallel and concurrent programs. Youll 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. FORMAT Paperback LANGUAGE English CONDITION Brand New Publisher Description This book covers the breadth of Haskells diverse selection of programming APIs for concurrent and parallel programming. It is split into two parts. The first part, on parallel programming, covers the techniques for using multiple processors to speed up CPU-intensive computations, including methods for using parallelism in both idiomatic Haskell and numerical array-based algorithms, and for running computations on a GPU. The second part, on concurrent programming, covers techniques for using multiple threads, including overlapping multiple I/O operations, building concurrent network servers, and distributed programming across multiple machines. Author Biography One of the lead developers of GHC, by far the most-used Haskell compiler in the world. Simon implemented virtually all the technology that the book would be covering. He taught a summer school on this material last year, and is teaching another one this year http://www-hpc.cea.fr/SummerSchools2012-CS.htm Simon is a lead figure in the Haskell community. He chaired the Haskell 2010 committee, and is the editor of the Haskell 2010 report, the latest revision of the language. Table of Contents Preface; Audience; How to Read This Book; Conventions Used in This Book; Using Sample Code; Safari Long Description This book covers the breadth of Haskells diverse selection of programming APIs for concurrent and parallel programming. It is split into two parts. The first part, on parallel programming, covers the techniques for using multiple processors to speed up CPU-intensive computations, including methods for using parallelism in both idiomatic Haskell and numerical array-based algorithms, and for running computations on a GPU. The second part, on concurrent programming, covers techniques for using multiple threads, including overlapping multiple I/O operations, building concurrent network servers, and distributed programming across multiple machines. Promotional "Headline" Techniques for Multicore and Multithreaded Programming Details ISBN1449335942 Short Title PARALLEL & CONCURRENT PROGRAMM Publisher OReilly Media Language English ISBN-10 1449335942 ISBN-13 9781449335946 Media Book Format Paperback Author Simon Marlow Year 2013 Place of Publication Sebastopol Country of Publication United States DEWEY 005.133 Illustrations illustrations (black and white) Subtitle Techniques for Multicore and Multithreaded Programming Imprint OReilly Media AU Release Date 2013-09-03 NZ Release Date 2013-09-03 UK Release Date 2013-09-03 Pages 256 Audience Professional & Vocational Publication Date 2013-09-17 US Release Date 2013-09-17 We've got this At The Nile, if you're looking for it, we've got it. With fast shipping, low prices, friendly service and well over a million items - you're bound to find what you want, at a price you'll love! 30 DAY RETURN POLICY No questions asked, 30 day returns! FREE DELIVERY No matter where you are in the UK, delivery is free. SECURE PAYMENT Peace of mind by paying through PayPal and eBay Buyer Protection TheNile_Item_ID:161699766;

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

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ISBN-13: 9781449335946

Book Title: Parallel and Concurrent Programming in Haskell

Publisher: O'reilly Media, INC International Concepts USA

Publication Year: 2013

Subject: Computer Science

Number of Pages: 256 Pages

Language: English

Publication Name: Parallel and Concurrent Programming in Haskell

Type: Textbook

Author: Simon Marlow

Format: Paperback

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