The Art of Multiprocessor Programming, Revised Reprint
Nonfiction, Computers, Advanced Computing, Parallel Processing, Programming, Software Development, General Computing
| Author: | Maurice Herlihy, Nir Shavit | ISBN: | 9780123977953 |
| Publisher: | Elsevier Science | Publication: | June 25, 2012 |
| Imprint: | Morgan Kaufmann | Language: | English |
| Author: | Maurice Herlihy, Nir Shavit |
| ISBN: | 9780123977953 |
| Publisher: | Elsevier Science |
| Publication: | June 25, 2012 |
| Imprint: | Morgan Kaufmann |
| Language: | English |
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
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
