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The Art of Multiprocessor Programming

The Art of Multiprocessor Programming Cover

 

Synopses & Reviews

Publisher Comments:

This book is the first comprehensive presentation of the principles and tools available for programming multiprocessor machines. It is of immediate use to programmers working with the new architectures. For example, the next generation of computer game consoles will all be multiprocessor-based, and the game industry is currently struggling to understand how to address the programming challenges presented by these machines.

This change in the industry is so fundamental that it is certain to require a significant response by universities, and courses on multicore programming will become a staple of computer science curriculums.

The authors are well known and respected in this community and both teach and conduct research in this area. Prof. Maurice Herlihy is on the faculty of Brown University. He is the recipient of the 2003 Dijkstra Prize in distributed computing. Prof. Nir Shavit is on the faculty of Tel-Aviv University and a member of the technical staff at Sun Microsystems Laboratories. In 2004 they shared the Godel Prize, the highest award in theoretical computer science.

* THE book on multicore programming, the new paradigm of computer science

* Written by the world's most revered experts in multiprocessor programming and performance

* Includes examples, models, exercises, PowerPoint slides, and sample Java programs

Synopsis:

As the computer industry changes from single-processor to multiprocessor architectures, this revolution requires a fundamental change in how programs are written. To leverage the performance and power of multiprocessor programming, also known as multicore programming, you need to learn the new principles, algorithms, and tools presented in this book. It includes fully-developed Java examples detailing data structures, synchronization techniques, transactional memory, and more.

Prof. Maurice Herlihy, who coined the phrase "transactional memory," is on the faculty of Brown University. He is the recipient of the 2003 Dijkstra Prize in distributed computing. Prof. Nir Shavit is on the faculty of Tel-Aviv University and a member of the technical staff at Sun Microsystems Laboratories. In 2004 they shared the Gödel Prize, the highest award in theoretical computer science.

* THE book on multicore programming, the new paradigm of computer science

* Written by the world's most revered experts in multiprocessor programming and performance

* Includes examples, models, exercises, PowerPoint slides, and sample Java programs

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. Maurice 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, 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. He spent several years as a Visiting Professor at M.I.T., and has intermittently been a member of technical staff at Sun Labs since 1999. Professor Shavit joined the faculty of the School of Computer Science at Tel-Aviv University in 1992. He shared the 2004 Gödel Prize with Maurice Herlihy, the highest award in theoretical computer science.

Tel Aviv University, Israel

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 Sychronization; 9 Linked Lists: the Role of Locking; 10 Concurrent Queues and the ABA Problem; 11 Concurrent Stakcs and Elimination; 12 Counting, Sorting and Distributed Coordinatino; 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

Product Details

ISBN:
9780123705914
Publisher:
Morgan Kaufmann Publishers
Subject:
Data Processing - Parallel Processing
Author:
Shavit, Nir
Author:
Herlihy, Maurice
Subject:
Programming - General
Subject:
Multiprocessors
Subject:
Multiprogramming (Electronic computers)
Subject:
Systems Architecture - Distributed Systems &
Subject:
Parallel Processing
Subject:
Operating Systems - General
Publication Date:
20080331
Binding:
TRADE PAPER
Language:
English
Illustrations:
Y
Pages:
528
Dimensions:
9.25 x 7.5 in

Related Subjects

Computers and Internet » Computer Architecture » General
Computers and Internet » Computer Architecture » Parallel
Computers and Internet » Operating Systems » General
Computers and Internet » Software Engineering » Programming and Languages

The Art of Multiprocessor Programming
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Product details 528 pages Morgan Kaufmann Publishers - English 9780123705914 Reviews:
"Synopsis" by , As the computer industry changes from single-processor to multiprocessor architectures, this revolution requires a fundamental change in how programs are written. To leverage the performance and power of multiprocessor programming, also known as multicore programming, you need to learn the new principles, algorithms, and tools presented in this book. It includes fully-developed Java examples detailing data structures, synchronization techniques, transactional memory, and more.

Prof. Maurice Herlihy, who coined the phrase "transactional memory," is on the faculty of Brown University. He is the recipient of the 2003 Dijkstra Prize in distributed computing. Prof. Nir Shavit is on the faculty of Tel-Aviv University and a member of the technical staff at Sun Microsystems Laboratories. In 2004 they shared the Gödel Prize, the highest award in theoretical computer science.

* THE book on multicore programming, the new paradigm of computer science

* Written by the world's most revered experts in multiprocessor programming and performance

* Includes examples, models, exercises, PowerPoint slides, and sample Java programs

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