The Art of Multiprocessor Programming, Revised Reprint
23%
off

The Art of Multiprocessor Programming, Revised Reprint

3.92 (152 ratings by Goodreads)
By (author)  , By (author) 

Free delivery worldwide

Available. Dispatched from the UK in 1 business day
When will my order arrive?

Description

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.show more

Product details

  • Paperback | 536 pages
  • 190.5 x 233.68 x 38.1mm | 1,043.26g
  • ELSEVIER SCIENCE & TECHNOLOGY
  • Morgan Kaufmann Publishers In
  • San Francisco, United States
  • English
  • Revised
  • Revised ed.
  • 0123973376
  • 9780123973375
  • 263,229

Review quote

"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 Newsshow more

About Maurice Herlihy

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. Maurice Herlihy is an ACM Fellow, and is the recipient of the 2003 Dijkstra Prize in Distributed Computing. He shared the 2004 Godel Prize with Nir Shavit, the highest award in theoretical computer science. In 2012 he shared the Edsger W. Dijkstra Prize In Distributed Computing with Nir Shavit. 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 Godel Prize with Maurice Herlihy, the highest award in theoretical computer science. 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. In 2012 he shared the Edsger W. Dijkstra Prize In Distributed Computing with Maurice Herlihy.show more

Table of 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 Appendicesshow more

Review Text

"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 Newsshow more

Rating details

152 ratings
3.92 out of 5 stars
5 30% (45)
4 43% (65)
3 20% (31)
2 5% (7)
1 3% (4)
Book ratings by Goodreads
Goodreads is the world's largest site for readers with over 50 million reviews. We're featuring millions of their reader ratings on our book pages to help you find your new favourite book. Close X