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The Art of Multiprocessor Programming
The Art of Multiprocessor Programming, Second Edition, provides users with an authoritative guide to multicore programming. This updated edition introduces higher level software development skills relative to those needed for efficient single-core programming, and includes comprehensive coverage of the new principles, algorithms, and tools necessary for effective multiprocessor programming. The book is an ideal resource for students and professionals alike who will benefit from its thorough coverage of key multiprocessor programming issues.
576 pages, Paperback
First published February 29, 2008
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Displaying 1 - 17 of 17 reviews
May 29, 2022
This book is very uneven. And yet I think this is one of the best (if not THE best) books on concurrency.
It's starts very light with metaphors of parallelism & coordination from real life, but then hits you with formalism & hardcore computer science theory. Some of it is really hard to follow and despite the authors of the book being the authors of original discoveries (things like impossibility of using simple registers for consensus and coordination) i found it easier to look for alternative explanations (https://www.youtube.com/watch?v=3ZR-R...).
Theoretical part is a hump you need to slug through to get to the real gems: chapters 7 - 10 are amazingly good. Chapter 7 alone makes this book worth reading.
Surprisingly I find the chapters that present body of academic work done by the authors (chapters 5,6, 12) the most hard to understand. And it's relatively hard to find alternative explanation for dummies. Most of my google search lead to white papers created by same people and laying out the info in the same manner.
Books that I recommend reading along this one:
* A Primer On Memory Consistency And Cache Coherence - gives perspective on the topic from hardware perspective. There is good overlap on locks & data structures. But it worth looking at it from different perspectives.
* Is Parallel Programming Hard, And, If So, What Can You Do About It? - gives perspective that GC-based runtimes have it easy, and concurrency in native environments is even more challenging.
* Java Concurrency in Practice - it's a better book to understand what are the fundamentals of JVM platform when it comes to concurrency. Surprisingly "The Art of Multiprocessor Programming" have couple of bugs that will lead to data races. So "the art ..." is not the book to learn about jvm & concurrency primitives in java language
It's starts very light with metaphors of parallelism & coordination from real life, but then hits you with formalism & hardcore computer science theory. Some of it is really hard to follow and despite the authors of the book being the authors of original discoveries (things like impossibility of using simple registers for consensus and coordination) i found it easier to look for alternative explanations (https://www.youtube.com/watch?v=3ZR-R...).
Theoretical part is a hump you need to slug through to get to the real gems: chapters 7 - 10 are amazingly good. Chapter 7 alone makes this book worth reading.
Surprisingly I find the chapters that present body of academic work done by the authors (chapters 5,6, 12) the most hard to understand. And it's relatively hard to find alternative explanation for dummies. Most of my google search lead to white papers created by same people and laying out the info in the same manner.
Books that I recommend reading along this one:
* A Primer On Memory Consistency And Cache Coherence - gives perspective on the topic from hardware perspective. There is good overlap on locks & data structures. But it worth looking at it from different perspectives.
* Is Parallel Programming Hard, And, If So, What Can You Do About It? - gives perspective that GC-based runtimes have it easy, and concurrency in native environments is even more challenging.
* Java Concurrency in Practice - it's a better book to understand what are the fundamentals of JVM platform when it comes to concurrency. Surprisingly "The Art of Multiprocessor Programming" have couple of bugs that will lead to data races. So "the art ..." is not the book to learn about jvm & concurrency primitives in java language
February 6, 2015
The book is split up into a Principles and a Practice section. The former is especially nice. In particular, the result that wait-free objects with consensus number greater than 1 cannot be implemented using atomic registers is now one of my favourites in computer science. It implies that we really need do other hardware primitives than plain old read & writes for most concurrent algorithms, and this conclusion about hardware requirements is reached through a very transparent, abstract argument.
The main lesson, in my opinion, is that concurrent algorithms are extremely delicate given the presently available language constructs. Your compiler will screw you over, wrongly ordered statements will screw you over, memory management will screw you over, forgetting to use a synchronization primitive somewhere will screw you over, and so on. This book teaches you to be mindful about all of these issues, which I think makes it more valuable than the average algorithm cookbook.
The main lesson, in my opinion, is that concurrent algorithms are extremely delicate given the presently available language constructs. Your compiler will screw you over, wrongly ordered statements will screw you over, memory management will screw you over, forgetting to use a synchronization primitive somewhere will screw you over, and so on. This book teaches you to be mindful about all of these issues, which I think makes it more valuable than the average algorithm cookbook.
January 23, 2020
A bit too much Java for my taste. If you 're into threads and parallel programming though, this book goes fairly deep in terms of computer science, math as well as actual code implementations in Java.
February 10, 2020
The excellent book to understand deeply of underneath concurrent primitives. The book has a diverse range of examples and exercises. If you are not going to write your own concurrent library then you may not read it. However it's good to have an overview of tools you are daily using.
July 12, 2017
Fantastic book, I didn't read this exhaustively but it has a really great balance of theory vs practice, managing to dive deep in each case, and yet remaining highly accessible and engaging.
December 3, 2018
Worth reading for Chapter 7 alone. That chapter presents nuances of modern hardware architecture with clear code and its effects.
September 3, 2019
These books are great. Really easy to read and understand, but not too boring. A great foundation and/or a refresher.
December 27, 2010
In my day, synchronization was just one topic out of many in the undergraduate operating systems course, alongside process scheduling and virtual memory. Nowadays, however, with multicore processors appearing in $500 personal computers, this topic has become more important. The first author teaches a whole undergraduate course on it at Brown University using this book as a textbook, and the second author does so at Tel Aviv University. It has a long discussion of locks (spinlocks, reader-writer queue-based locks, and combinations thereof), lock-free processor instructions (the IBM/360 had one theoretically less powerful than the Intel x86 and newer processors), data structures based on lock-free processor instructions (lists, stacks, queues, hash tables, skip lists). and software transactional memory, which is supposed to be the future of multiprocessor programming.
February 12, 2013
This is book is not for pragmatic people. Mostly it is about theory behind multithread programming, but there are few practical chapters. I think it will be very hard to read for the beginner and most probably reader will no go and program good multithread programs after reading it.
The book the worst part are terrible code examples - not well chosen and they just are erroneous.
Polish translation of this book is not more than just acceptable. There is lack of unified translation of terms, sentences sound very unnatural.
Overall quite good book, academic-like but not too much.
The book the worst part are terrible code examples - not well chosen and they just are erroneous.
Polish translation of this book is not more than just acceptable. There is lack of unified translation of terms, sentences sound very unnatural.
Overall quite good book, academic-like but not too much.
March 10, 2015
Not terribly clear and the code is riddled with errors, but as far as I can tell this is still the definitive text.
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note: the code here is in Java. For the purposes of theory, that's not a big deal, but I suspect practical translation of some of the algorithms to a different language with a different memory model may prove tricky if not impossible. The algorithms that assume the presence of a garbage collector look especially tricky; I don't know if it's possible to implement a lock-free concurrent skiplist in a language like C++, but if it is, the details are elsewhere.
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note: the code here is in Java. For the purposes of theory, that's not a big deal, but I suspect practical translation of some of the algorithms to a different language with a different memory model may prove tricky if not impossible. The algorithms that assume the presence of a garbage collector look especially tricky; I don't know if it's possible to implement a lock-free concurrent skiplist in a language like C++, but if it is, the details are elsewhere.
March 17, 2018
The Art of Multiprocessor Programming is a guide to multi-core programming on Linux platform which has the flexibility to control individual cores for efficient distribution of threads and process to be uniquely run on those cores.
This book is of advanced level and does not give an insightful view to the beginner students of this field. Mostly theory and algorithms were listed and no consequential examples were provided. This book lacks interactive ability which is the basis for good concept building.
This book is of advanced level and does not give an insightful view to the beginner students of this field. Mostly theory and algorithms were listed and no consequential examples were provided. This book lacks interactive ability which is the basis for good concept building.
February 2, 2009
The days of Moore's law are moving to multiprocessors. Manufacturers are having difficulty increasing speed on single processors. thus, multiprocessors are necessary to continue improving software performance. The first third of the book evolves the terms and understanding of multiprocessor programming and the rest looks at the practice. This is written by two very outstanding professors who really understand the topic and provide some great content.
Want to read
January 23, 2010the most theory-driven intro to parallel computing I could find
April 9, 2013
Seems quite comprehensive, but the number of careless errors and a few confusing/incomplete explanations is off-putting, even though there are errata online.
December 20, 2014
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February 17, 2016
Not always realistic. Not always usable
July 12, 2014
Great exposition of a complex subject.
Displaying 1 - 17 of 17 reviews