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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 Review: Two Stars - Cheap reprint, pictures are not colored. The rating is definitely not about the content, probably the best you would expect. Avoid buying this cheap ripoff and order the hardback. Review: Great book to introduce parallel and concurrent techniques for haskell programmers - This is a great book as a jumping-off point for writing concurrent and parallel haskell programs. It covers a number of paradigms and techniques, with advice about the trade-offs and advantages of each. A worthwhile read if you are already writing serial haskell programs and are looking to extend your knowledge.

































































| Best Sellers Rank | #383,009 in Books ( See Top 100 in Books ) #5 in Functional Software Programming #337 in C & C++ Programming #583 in Software Design & Engineering |
| Customer Reviews | 4.6 out of 5 stars 61 Reviews |
R**I
Two Stars
Cheap reprint, pictures are not colored. The rating is definitely not about the content, probably the best you would expect. Avoid buying this cheap ripoff and order the hardback.
A**R
Great book to introduce parallel and concurrent techniques for haskell programmers
This is a great book as a jumping-off point for writing concurrent and parallel haskell programs. It covers a number of paradigms and techniques, with advice about the trade-offs and advantages of each. A worthwhile read if you are already writing serial haskell programs and are looking to extend your knowledge.
P**O
Five Stars
Haskell is just the most modern tool for parallel processing out there. Cuda enabled and all!
K**L
spannender Überblick
Das Buch ist ein langes Tutorial, in dem viele verschiede Parallelitäts- und Nebenläufigkeitsmodelle vorgestellt werden. Jedes Kapitel ist dennoch ausfühlich genug, um sich beim anschließenden Ausprobieren sicher zu fühlen. Komplexere Beispiel gibt es, explizite Übungsaufgaben sind aber trotzdem selten. Um den Text verstehen zu können reicht ein Grundverständnis von Haskell, wie man es durch "Learn You a Haskell for Great Good" bekommt, völlig aus. Da Haskell mehrere Parallelitätsmodelle hat, ist das Buch auch dann noch lesenswert, wenn man sich damit in objektorientierten / imperativen Sprachen schon auseinandergesetzt hat. Zum Beispiel gibt es die Möglichkeit Logik und die Berechnungsschritte zu trennen. Mir hat das Lesen viel Spaß gemacht. An Aktualität hat es auch nach fast drei Jahren nichts verloren.
V**V
Great book for Haskell
Great book
F**E
Brilliant
This concise Book introduces brilliantly techniques for everyday programming and big projects development. The author interleaves skillfully theoretical concepts with clear examples, while keeping a pragmatical style. Even though the subject of the book is one of the most complex topics in programming, the author leads the reader step by step through complex problems, focusing on the technique, while warning of non-trivial pitfalls.
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