The art of multiprocessor programming
Multiprocessor machines, or Multicores, as they are known in the industry, are quickly taking over every aspect of computing. This volume provides a presentation of the guiding principles and algorithmic techniques necessary for effective multiprocessor programming.
Stats for nerds
27recommend
64mentions
44people
2009–2026years
58% recommend39% neutral3% critical
Mentions per year
What Hacker News says
- I would probably recommend the art of multiprocessor programming (herlihy and shavitz) as a good starting point for concurrent programming. There is also " A primer on memory consistency and cache coherence" (Nagarajan et al) if you want to get more into the interaction between memory consistency and coherence.
- 1) Foundations of Multithreaded, Parallel, and Distributed Programming by Gregory Andrews - https://www2.cs.arizona.edu/~greg/mpdbook/ This will give you a solid foundation in all aspects of concurrency.
2) The Art of Multiprocessor Programming by Herlihy, Shavit et al. - https://shop.elsevier.com/books/the-art-of-multiprocessor-pr... The classic must-study book.
Both the above are not language specific but do have examples in Java.
- The Art of Multiprocessor Programming. It does talk about reentrant locks and other things this review says it doesn't. The more interesting parts of it though are the back half, after going through lock implementations and such it actually starts solving problems using both lock-based and lock-free designs.
Follow it up with something appropriate to the language you're using, like C++ Concurrency in Action for C++ (much of it transfers to other languages).
- Heh this reminds me of a really good book, The Art of Multiprocessor Programming [1]. It has two parts, the first one goes quite a hit into the theory. And the second part begins with a real example where the theory doesn’t hold and it’s aptly titled “Welcome to The Real World”.
[1] https://github.com/amilajack/reading/blob/master/Computer_Sc...
- Anyone with a Java background will mention JCiP. But there's another book going deeper - "Art of Multiprocessor Programming" (https://www.amazon.com/Art-Multiprocessor-Programming-Mauric...).
- None of them. Study Knuth. Study the Intel manuals. Study “The Art of Multiprocessor Programming”. Study compilers. Study TCP/IP. Study algorithms and data structures. Write lots of code for all of those things.
Disregard the noise. Ban yourself from reading blogs and magazines and tech news. Focus on what is fundamental to the field. Look where nobody else is looking.
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