Simon Marlow
人物简介:
Simon Marlow has been a prominent figure in the Haskell community formany years. He is the author of large parts of the Glasgow HaskellCompiler, including in particular its highly regarded mulitcoreruntime system, along with many of the libraries and tools thatHaskell programmers take for granted. Simon also contributes to thefunctional programming research community, and has a string of paperson subjects ranging from garbage collection to language design. Inrecent years Simon's focus has been on making Haskell an idealprogramming language for parallel and concurrent applications, both bydeveloping new programming models and building a high-qualityimplementation.
Simon spent 14 years at Microsoft's Research laborotory in Cambridge,before taking a break in Spring 2013 to work on this book. Hecurrently works at Facebook UK.
Parallel and Concurrent Programming in Haskell书籍相关信息
- ISBN:9781449335946
- 作者:Simon Marlow
- 出版社:O'Reilly Media
- 出版时间:2013-8-15
- 页数:322
- 价格:USD 39.99
- 纸张:暂无纸张
- 装帧:Paperback
- 开本:暂无开本
- 语言:暂无语言
- 适合人群:Software developers, Computer science students, Functional programming enthusiasts, Systems programmers, People interested in concurrent and parallel programming, Haskell language learners
- TAG:Computer Science / Algorithms / Software Engineering / Concurrency / Programming Language / parallel computing / Functional Programming / Haskell
- 豆瓣评分:9.9
- 更新时间:2025-05-17 01:40:26
内容简介:
This book covers the breadth of Haskell's 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.