The Art of Multiprocessor Programming, Revised Reprint

Informationen zum Autor 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 G del 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 G del 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. Klappentext Incorporates errata and corrections throughout, based on classroom feedback since 2008. Zusammenfassung A guide to multicore programming. It introduces a higher level set of software development skills than that needed for efficient single-core programming. It provides comprehensive coverage of the principles! algorithms! and tools necessary for effective multiprocessor programming.

Autorentext
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. 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.

Klappentext
Incorporates errata and corrections throughout, based on classroom feedback since 2008.


Zusammenfassung
A guide to multicore programming. It introduces a higher level set of software development skills than that needed for efficient single-core programming. It provides comprehensive coverage of the principles, algorithms, and tools necessary for effective multiprocessor programming.

Inhalt
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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