The Art of Multiprocessor Programming, Revised Reprint

Maurice Herlihy

ISBN 10: 0123973376 / ISBN 13: 9780123973375

Published by Morgan Kaufmann, 2012

About this Item

nach der Bestellung gedruckt Neuware - Printed after ordering - 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.

Seller Inventory # 9780123973375

Bibliographic Details

• Title: The Art of Multiprocessor Programming, Revised Reprint
• Publisher: Morgan Kaufmann
• Publication Date: 2012
• Language: English
• ISBN 10: 0123973376
• ISBN 13: 9780123973375
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 235W x 191H x 35D millimeters 235 millimeters width by 191 millimeters height by 35 millimeters depth
• Weight: 1090 grams

About this title

Synopsis

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

About the Authors

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.