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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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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.
Riassunto
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.
