The Art of Multiprocessor Programming, Revised Reprint

By
  • Maurice Herlihy, Professor of Computer Science, Brown University, Providence, RI, USA
  • Nir Shavit, Professor of Computer Science, Massachusetts Institute of Technology, Cambridge, MA

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.

Paperback, 536 Pages

Published: May 2012

Imprint: Morgan Kaufmann

ISBN: 978-0-12-397337-5

Contents

  • 1. Introduction

    2. Mutual Exclusion

    3. Concurrent Objects and Linearization

    4. Foundations of Shared Memory

    5. The Relative Power of Synchronization Methods

    6. The Universality of Consensus

    7. Spin Locks and Contention

    8. Monitors and Blocking Synchronization

    9. Linked Lists: the Role of Locking

    10. Concurrent Queues and the ABA Problem

    11. Concurrent Stacks and Elimination

    12. Counting, Sorting and Distributed Coordination

    13. Concurrent Hashing and Natural Parallelism

    14. Skiplists and Balanced Search

    15. Priority Queues

    16. Futures, Scheduling and Work Distribution

    17. Barriers

    18. Transactional Memory

    Appendices

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