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Product details
File Size: 5793 KB
Print Length: 304 pages
Page Numbers Source ISBN: 0596521537
Simultaneous Device Usage: Unlimited
Publisher: O'Reilly Media; 1 edition (May 7, 2009)
Publication Date: May 7, 2009
Sold by: Amazon Digital Services LLC
Language: English
ASIN: B002L4EXD8
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#477,527 Paid in Kindle Store (See Top 100 Paid in Kindle Store)
"The Art of Concurrency," by Clay Breshears, is an outstanding book on concurrent algorithms and multi-threaded programming. Breshears hits the sweet spot between rigor and readability, and manages to make a terrifically difficult subject accessible, if not the to layman, at least to motivated and experienced developers.While I cannot imagine a more accessible book on the subject, make no mistake: reading this book requires some serious head work and commitment. If you stay the course, you will review the details of algorithms that you vaguely remember (quick sort; Floyd's algorithm) and some that may be entirely new to you (PRAM). But the rewards are significant: not just a sense of accomplishment, but confidence that you could transform a gnarly serial algorithm into a parallel version that would run rings around the original. There is also the intangible benefit of having been forced to look at problems sideways, with the result that next time you need to engineer a solution, you will be less stuck in a rut and more apt to find an elegant, out-of-the-box solution.Although there are some eminently practical chapters on searching for potential race conditions, this book is not a cookbook of thread solutions: few developers will need to implement parallel binary searches, parallel sorts, or parallel graph traversal. Yet reading this book should make a developer better prepared to resolve more mundane concurrency issues. And it goes down easy: the author has a charming voice, loves his area of expertise, and takes delight in leading the reader through this subject.Without a doubt, this is one of the best books on programming that I have read.
This book is kind of a dull read for (in my opinion) interesting material. The writing style is informal, but self-importantly so (lots of "I did this" and "I've said this before"). Even discounting that, the writer cannot make the subject very interesting. Partly because he eschews figures or flowcharts or itemized steps for walls of text, partly because the writing itself is disjointed and not very good. Remember, informal != good.Plus, the code is sloppy. Almost everywhere a main routine has a loop pthread_create'ing new threads, "new" is used to allocate and free is used to deallocate a pointer. This is the most egregious one; one can take issue with a lot of others (for example, why is the code C++ if 99% of it is C? Why is the pointer allocated in the main thread but freed in the worker thread?).The thing I liked about the book is that it covers a lot of relevant topics, including modern ones such as MapReduce. It should reward someone with the patience to overlook its flaws.
This book provides an introduction to concurrency of threads and tasks with shared memory, not SIMD concurrency (such as with a vector unit or GPU) or message passing with distributed memory (such as with a cluster). The first half of the book covers the concepts involved in multithreaded programming and how to parallelize algorithms. The second half covers particular parallel algorithms with implementations in C++.The first several chapters were confusing because they made no reference to the memory model, which is odd for a book that covers shared-memory concurrency. In particular, the book assumed that when one thread writes a global variable, that all other threads would see the new value immediately. In reality, compilers can reorder results and store results in registers unless variables are marked as volatile or there is an explicit memory barrier.The book assumes the reader has experience with a task or thread library. It does introduce OpenMP, Intel Threaded Building Blocks, and Pthreads, but the book could offer more explanation for readers not experienced with these implementations of concurrency. The book does not use C++ lambda expressions, which are useful when using Intel TBB, and it does not cover Java concurrency.The C++ code listings in the book are quite helpful and can be understood by any C programmer, but they could be better. One nitpick in particular is that the code for Quicksort always picks the leftmost element as the pivot, which will result in a stack overflow when sorting a large, nearly sorted list. The book provides no coding exercises, which I often find helpful when learning a new language or library.
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