The Art of Multiprocessor Programming, Revised Reprint

ISBN-13: 9780123973375 / Angielski / Miękka / 2012 / 508 str.

Maurice Herlihy; Nir Shavit

Opis

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

Recenzje

"The book could be used for a short course for practitioners looking for solutions to particular problems, a medium course for non-computer science major who would use multiprocessor programming in their own field, or a semester-long course for computer science majors." -- Reference and Research Book News

Spis treści

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

O autorze

Herlihy, Maurice
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. Shavit, Nir
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.