Item #:
166149575
Art of Multiprocessor Programming by Michael Spear, Nir Shavit, Victor Luchangco and Maurice Herlihy (2020, Trade Paperback)
Item #:
166149575
DJF 13120
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An authoritative guide to multicore programming that covers new principles, algorithms, and tools for effective multiprocessor programming.
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What Stands Out
Comprehensive Coverage
Covers theoretical concepts and practical applications of multiprocessor programming, making it ideal for both students and professionals seeking a robust understanding of parallel programming.
Real-World Examples
Includes real-world scenarios and case studies that illustrate the complexities and solutions in multiprocessor environments, enhancing comprehension and skills applicable to industry challenges.
Expert Authorship
Authored by leading experts in computer science, ensuring the information is credible and reflects the latest advancements in the field, empowering readers with cutting-edge knowledge.
Product Details
| Publisher | Elsevier Science & Technology |
| ISBN-13 | 9780124159501 |
| Number of Pages | 608 Pages |
| Publication Name | Art of Multiprocessor Programming |
| Subject | Systems Architecture / Distributed Systems & Computing, Software Development & Engineering / General |
| Author | Michael Spear, Nir Shavit, Victor Luchangco, Maurice Herlihy |
| Format | Trade Paperback |
| Item Length | 9.2 in (23.37 cm) |
| Edition Number | 2 |
| LCCN | 2020-944114 |
| Reviews | "The book is largely self-contained, has countless examples, and focuses on what really matters. As such, it is very well suited for both a teaching environment and for practitioners looking for an opportunity to learn about this topic...The book is written in a way that makes multiprocessor programming accessible. This updated version will further confirm its status as a classic." --ComputingReviews.com, 2013 |
| Illustrated | Yes |
| Table Of Content | 1. Introduction 2. Mutual exclusion 3. Concurrent objects 4. Foundations of shared memory 5. The relative power of synchronization operations 6. Universality of consensus 7. Spin locks and contention 8. Monitors and blocking synchronization 9. Linked lists: The role of locking 10. Queues, memory management, and the ABA problem 11. Stacks and elimination 12. Counting, sorting and distributed coordination 13. Concurrent hashing and natural parallelism 14. Skiplists and balanced search 15. Priority queues 16. Scheduling and work distribution 17. Data parallelism 18. Barriers 19. Optimism and manual memory management 20. Transactional programming Appendix A: Software basics Appendix B: Hardware basics |
| LC Classification Number | QA76.6 |
| Item Weight | 1.5 lbs (680 grams) |
Who Should Buy?
-
Graduate Students
Ideal for graduate students studying computer science and parallel processing concepts, enhancing their understanding of complex algorithms.
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Software Engineers
Benefits software engineers focusing on concurrency and parallelism in their projects, providing practical insights into multiprocessor programming.
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Research Scientists
A valuable resource for research scientists exploring high-performance computing, enabling them to implement efficient multiprocessor solutions.
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Beginners in Programming
Not suitable for programming beginners, as it requires prior knowledge of computer architecture and parallel computing concepts.
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Features & Benefits
- Updated second edition with new exercises for instructors.
- Covers higher level software development for multicore programming.
- Comprehensive coverage of key multiprocessor programming issues.
- Guidance on shared memory and programming multiple threads.
- Explores mainstream concurrent data structures and their design.
- Discusses synchronization techniques from simple locks to transactional memory systems.
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