The Art of Multiprocessor Programming

by Maurice Herlihy, Nir Shavit, Victor Luchangco, Michael Spear

Overview

The Art of Multiprocessor Programming, Second Edition, provides users with an authoritative guide to multicore programming. This updated edition introduces higher level software development skills relative to those needed for efficient single-core programming, and includes comprehensive coverage of the new principles, algorithms, and tools necessary for effective multiprocessor programming. The book is an ideal resource for students and professionals alike who will benefit from its thorough coverage of key multiprocessor programming issues.

Product Details

ISBN-13:	9780124159501
Publisher:	Elsevier Science
Publication date:	10/13/2020
Edition description:	2nd ed.
Pages:	576
Product dimensions:	7.40(w) x 9.10(h) x 1.10(d)

About the Author

Maurice Herlihy received an A.B. in Mathematics from Harvard University, and a Ph.D. in Computer Science from M.I.T. He has served on the faculty of Carnegie Mellon University, on the staff of DEC Cambridge Research Lab, and is currently a Professor in the Computer Science Department at Brown University. Dr. Herlihy is an ACM Fellow, and is the recipient of the 2003 Dijkstra Prize in Distributed Computing. He shared the 2004 Gödel Prize with Nir Shavit, with whom he also shared the 2012 Edsger W. Dijkstra Prize In Distributed Computing.

Nir Shavit received a B.A. and M.Sc. from the Technion and a Ph.D. from the Hebrew University, all in Computer Science. From 1999 to 2011 he served as a member of technical staff at Sun Labs and Oracle Labs. He shared the 2004 Gödel Prize with Maurice Herlihy, with whom he also shared the 2012 Edsger W. Dijkstra Prize in Distributed Computing. He is a Professor in the Electrical Engineering and Computer Science Department at M.I.T. and the Computer Science Department at Tel-Aviv University.

Victor Luchangco is a Senior Algorithms Researcher at Algorand in Cambridge, MA, USA.

Professor Spear's research interests are broadly in concurrency, programming languages, and computer architecture. His goal is to make it easier for programmers to write correct, scalable applications.

Table of Contents

1. Introduction
2. Mutual exclusion
3. Concurrent objects
4. Foundations of shared memory
5. The relative power of synchronization operations
6. Universality of consensus
7. Spin locks and contention
8. Monitors and blocking synchronization
9. Linked lists: The role of locking
10. Queues, memory management, and the ABA problem
11. Stacks and elimination
12. Counting, sorting and distributed coordination
13. Concurrent hashing and natural parallelism
14. Skiplists and balanced search
15. Priority queues
16. Scheduling and work distribution
17. Data parallelism
18. Barriers
19. Optimism and manual memory management
20. Transactional programming

Appendix A: Software basics
Appendix B: Hardware basics

What People are Saying About This

From the Publisher

Learn the principles of concurrent programming, and leverage the power of multicore processors

Editorial Reviews

"The book is largely self-contained, has countless examples, and focuses on what really matters. As such, it is very well suited for both a teaching environment and for practitioners looking for an opportunity to learn about this topic...The book is written in a way that makes multiprocessor programming accessible. This updated version will further confirm its status as a classic." —ComputingReviews.com, 2013

From the Publisher