Verlag: O'Reilly Media (edition 1), 2013
ISBN 10: 1449335942 ISBN 13: 9781449335946
Sprache: Englisch
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In den WarenkorbZustand: New. 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 program.
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In den WarenkorbTaschenbuch. Zustand: Neu. Neuware - 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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In den WarenkorbPaperback. Zustand: New. 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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In den WarenkorbPaperback. Zustand: New. 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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In den WarenkorbPaperback. Zustand: New. 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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In den WarenkorbPaperback. Zustand: New. 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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In den WarenkorbZustand: New. 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. . . . . .
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In den WarenkorbPaperback or Softback. Zustand: New. Parallel and Concurrent Programming in Haskell 1.12. Book.
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In den WarenkorbZustand: New. 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. . . . . . Books ship from the US and Ireland.
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In den Warenkorbpaperback. Zustand: New. Pub Date: 2014-10-01 Pages: 259 Language: Chinese Publisher: People Post Press Haskell parallel and concurrent programming learn more on how to use the Haskell language and associated libraries and frameworks for writing parallel and concurrent programs. Haskell parallel and concurrent programming with the two parts separately to explain the parallel Haskell Haskell programming and concurrent programming. Depending on the programming model. a parallel section describes three kinds of parallel.