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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.|