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Item #:
88190038
Parallel and Concurrent Programming in Haskell: Techniques for Multicore and Multithreaded Programming
97% of respondents would recommend this to a friend
Item #:
88190038
XOF 34204
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This hands-on book shows you how to use Haskell’s many APIs and frameworks for writing both parallel and concurrent programs.
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Product Details
- 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
| Publisher | O'Reilly Media |
| Publication date | September 17, 2013 |
| Edition | 1st |
| Language | English |
| Print length | 319 pages |
| ISBN-10 | 1449335942 |
| ISBN-13 | 978-1449335946 |
| Item Weight | 1.15 pounds (520 grams) |
| Dimensions | 7 x 0.69 x 9.19 inches (17.8 x 1.8 x 23.3 cm) |
Product Description
Parallel and Concurrent Programming in Haskell: Techniques for Multicore and Multithreaded Programming
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Software Development Editorial Review
**** "Parallel and Concurrent Programming in Haskell: Techniques for Multicore and Multithreaded Programming" by Simon Marlow is a commendable resource for software developers looking to deepen their understanding of concurrent and parallel programming in Haskell. The book serves as an excellent transition for those who already possess some experience with Haskell and want to expand their skill set beyond serial programming. Marlow's expertise shines through as he presents a broad array of paradigms and techniques used in Haskell for achieving concurrency and parallelism. Readers appreciate the book's clear explanations of different concurrency options and how they can be applied effectively. The text balances depth with accessibility, making complex concepts manageable for readers. Reviewers frequently highlight the book’s technical insights, particularly regarding Software Transactional Memory (STM) and the importance of performance profiling and debugging. Additionally, the book introduces key libraries that are instrumental for building concurrent applications, providing real-world solutions to common problems developers face. While some users caution that this book isn't ideal for Haskell beginners, suggesting alternative introductions, it remains invaluable for those looking to harness the full potential of Haskell's capabilities in multicore and multithreaded programming. The combination of theory and practical applications makes it a top choice for dedicated developers committed to mastering concurrency in Haskell. **
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Pros
- Comprehensive overview of concurrency options in Haskell
- Clear explanations and technical insights
- Effective for expanding knowledge beyond serial programming
- Covers performance profiling and debugging
- Insight into Software Transactional Memory (STM)
- Discusses key libraries for practical application development
Cons
- Not suitable for beginners in Haskell
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Features & Benefits
- Hands-on approach to learning parallel and concurrent programming in Haskell.
- Explains how to exploit multicore processors for speed up.
- Includes practical exercises and code examples to enhance understanding.
- Covers libraries like Repa and Accelerate for advanced computations.
- Teaches building concurrent network servers and distributed programs.
- Ideal for Haskell programmers looking to enhance their skills.
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