More New and Used
from Private Sellers
Usually Ships in 2-3 Business Days
In Stock Usually Ships in 24 Hours.
180 day subscription
Questions About This Book?
Why should I rent this book?
Renting is easy, fast, and cheap! Renting from eCampus.com can save you hundreds of dollars compared to the cost of new or used books each semester. At the end of the semester, simply ship the book back to us with a free UPS shipping label! No need to worry about selling it back.
How do rental returns work?
Returning books is as easy as possible. As your rental due date approaches, we will email you several courtesy reminders. When you are ready to return, you can print a free UPS shipping label from our website at any time. Then, just return the book to your UPS driver or any staffed UPS location. You can even use the same box we shipped it in!
What version or edition is this?
This is the Revised edition with a publication date of 5/23/2012.
What is included with this book?
- The New copy of this book will include any supplemental materials advertised. Please check the title of the book to determine if it should include any CDs, lab manuals, study guides, etc.
- The Used copy of this book is not guaranteed to inclue any supplemental materials. Typically, only the book itself is included.
- The Rental copy of this book is not guaranteed to include any supplemental materials. You may receive a brand new copy, but typically, only the book itself.
Revised and updated with improvements conceived in parallel programming courses, The Art of Multiprocessor Programming is an authoritative guide to multicore programming. It introduces a higher level set of software development skills than that needed for efficient single-core programming. This book provides comprehensive coverage of the new principles, algorithms, and tools necessary for effective multiprocessor programming. Students and professionals alike will benefit from thorough coverage of key multiprocessor programming issues. This revised edition incorporates much-demanded updates throughout the book, based on feedback and corrections reported from classrooms since 2008 Learn the fundamentals of programming multiple threads accessing shared memory Explore mainstream concurrent data structures and the key elements of their design, as well as synchronization techniques from simple locks to transactional memory systems Visit the companion site and download source code, example Java programs, and materials to support and enhance the learning experience
Table of Contents
|Concurrent Objects and Linearization|
|Foundations of Shared Memory|
|The Relative Power of Synchronization Methods|
|The Universality of Consensus|
|Spin Locks and Contention|
|Monitors and Blocking Synchronization|
|Linked Lists: the Role of Locking|
|Concurrent Queues and the ABA Problem|
|Concurrent Stacks and Elimination|
|Counting, Sorting and Distributed Coordination|
|Concurrent Hashing and Natural Parallelism|
|Skiplists and Balanced Search|
|Futures, Scheduling and Work Distribution|
|Table of Contents provided by Publisher. All Rights Reserved.|