Senin, 02 Januari 2012

[V123.Ebook] Ebook Shared-Memory Synchronization (Synthesis Lectures on Computer Architecture), by Michael L. Scott

Ebook Shared-Memory Synchronization (Synthesis Lectures on Computer Architecture), by Michael L. Scott

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Shared-Memory Synchronization (Synthesis Lectures on Computer Architecture), by Michael L. Scott

Shared-Memory Synchronization (Synthesis Lectures on Computer Architecture), by Michael L. Scott



Shared-Memory Synchronization (Synthesis Lectures on Computer Architecture), by Michael L. Scott

Ebook Shared-Memory Synchronization (Synthesis Lectures on Computer Architecture), by Michael L. Scott

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Shared-Memory Synchronization (Synthesis Lectures on Computer Architecture), by Michael L. Scott

Since the advent of time sharing in the 1960s, designers of concurrent and parallel systems have needed to synchronize the activities of threads of control that share data structures in memory. In recent years, the study of synchronization has gained new urgency with the proliferation of multicore processors, on which even relatively simple user-level programs must frequently run in parallel. This lecture offers a comprehensive survey of shared-memory synchronization, with an emphasis on "systems-level" issues. It includes sufficient coverage of architectural details to understand correctness and performance on modern multicore machines, and sufficient coverage of higher-level issues to understand how synchronization is embedded in modern programming languages. The primary intended audience is "systems programmers"—the authors of operating systems, library packages, language run-time systems, concurrent data structures, and server and utility programs. Much of the discussion should also be of interest to application programmers who want to make good use of the synchronization mechanisms available to them, and to computer architects who want to understand the ramifications of their design decisions on systems-level code. Table of Contents: Introduction / Architectural Background / Essential Theory / Practical Spin Locks / Busy-wait Synchronization with Conditions / Read-mostly Atomicity / Synchronization and Scheduling / Nonblocking Algorithms / Transactional Memory / Author's Biography

  • Sales Rank: #1593187 in Books
  • Published on: 2013-06-17
  • Original language: English
  • Number of items: 1
  • Dimensions: 9.25" h x .50" w x 7.50" l, .86 pounds
  • Binding: Paperback
  • 222 pages

Most helpful customer reviews

6 of 6 people found the following review helpful.
wonderful new text on multiprocessor synchronization
By Nir Shavit
This is a wonderful new textbook on multiprocessor synchronization. Programming multicore machines continues to be a challenging undertaking, and as machines grow in the level of available hardware parallelism (number of cores), the role of synchronization in the delivery of performance grows accordingly. This book is intended for the serious practitioner that wants to derive performance from shared code, in particular code in languages like C and C++. In the same clean and elegant style of his popular Programming Language Pragmatics book, Michael Scott explains the core issues that face programmers, and the algorithms that can help solve them. The book uses simple and clean examples in covering basic material in each area of synchronization, and also provides a high level survey of more advanced techniques at the end of each section. This allows for a quick understanding of what technique to use right away, and a way for the interested practitioner to look at more advanced solutions down the road. The book offers clean code that includes indications of where to place memory barriers (to the best of my knowledge it is the first book to do so). It covers spin locks, various data structures, both lock-based and non-blocking, and it explains the basics of transactional memory, the new synchronization paradigm supported by the new Intel Haswell chips and soon to be supported by several of IBMs processor families. I highly recommend it!

-- Nir Shavit, Prof. of Electrical Engineering and Computer Science, MIT, and author of "The Art of Multiprocessor Programming."

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