- Taschenbuch: 319 Seiten
- Verlag: O'Reilly and Associates; Auflage: 1 (27. August 2013)
- Sprache: Englisch
- ISBN-10: 1449335942
- ISBN-13: 978-1449335946
- Größe und/oder Gewicht: 17,8 x 1,8 x 23,3 cm
- Durchschnittliche Kundenbewertung: 2 Kundenrezensionen
Nr. 37.240 in Fremdsprachige Bücher (Siehe Top 100 in Fremdsprachige Bücher)
- Nr. 24 in Fremdsprachige Bücher > Computer & Internet > Hardware > Parallelverarbeitende Rechner
- Nr. 211 in Fremdsprachige Bücher > Computer & Internet > Programmieren > Software-Design & Entwicklung > Softwareentwicklung
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Parallel and Concurrent Programming in Haskell: Techniques for Multicore and Multithreaded Programming (Englisch) Taschenbuch – 27. August 2013
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Über den Autor und weitere Mitwirkende
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.
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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.
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The book consists of two parts:
I) Parallelism. I enjoyed reading this part very much, because I have almost no experience in using multiple CPUs to speed up computations. Conclusion: with Haskell it is almost ridiculously easy, as compared to -say- MPI.
II) Concurrency. I have substantial of experience, in many languages, including Erlang. Well, concurrency is still hard, even with Haskell. It is definitely a virtue of the book, that it _does_not_pretend_otherwise_. But perhaps it is more manageable now, see for yourself.
For me, this book was the final argument that Haskell has matured to be (probably the most) versatile tool for software development.
This is The Book that sold me on Haskell for concurrent and parallel programming. Sure, I've read several articles on the benefits of functional languages for programming in the multi-core world, but that didn't really sink in until I saw how elegant it could be in a functional language.
In brief, the main benefits I got from reading this this book were:
* Surveyed parallel programming (in Haskell)
* Surveyed concurrent programming (in Haskell)
* Saw the elegance of the approaches for myself
* Learned about laziness gotchas in parallel contexts
* Learned a bit about what's next and left to improve
* Learned what modules to turn to and watch when in need
I hope I never have to look at OpenCL or CUDA C++ again for parallel programming. The way Repa/Accelerate handles this is beautiful.
The chapters on concurrent programming showed me how much having concurrency primitives built into a language change async programming. Having forkIO to run subsequent computations and a scheduler in the run-time make it very convenient.
In sum, I highly recommend this book. 10/10, one of my top 10 books of 2013.
For Kindle readers: the code samples display wonderfully. No need to squint - the fonts were well chosen.
As stated by the author in the preface, you can get most out of the book if you already know how to write functional Haskell programs and how to use monads, etc. Then the first part of the book will teach you how to make your pure codes run extremely fast (and it is really easy to do so in Haskell), whereas the second part of the book will teach you how to structure the pieces of your programs together to form a real world application.
For those who still do not have the prerequisites to benefit most from the book, I think a good place to start would be the book Real World Haskell (which is already a bit dated). The current book treats the topics of chapters 24, 28 and parts of chapter 25 of Real World Haskell in much more details, with lots of modern additions.
For that, I would suggest "Learn You A Haskell" or "Real World Haskell."
However, this book is absolutely amazing for parallel + concurrent programming. The book looks thin, but it's packed with technical insight and details.