Title
The Art Of Multiprocessor Programming, Revised Reprint
Delivery time: 8-12 business days (International)
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 Singlecore 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 Muchdemanded 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
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Shipping & Returns
Shipping
We ship your order within 2–3 business days for USA deliveries and 5–8 business days for international shipments. Once your package has been dispatched from our warehouse, you'll receive an email confirmation with a tracking number, allowing you to track the status of your delivery.
Returns
To facilitate a smooth return process, a Return Authorization (RA) Number is required for all returns. Returns without a valid RA number will be declined and may incur additional fees. You can request an RA number within 15 days of the original delivery date. For more details, please refer to our Return & Refund Policy page.
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This warranty strictly does not cover damages that arose from negligence, misuse, wear and tear, or not in accordance with product instructions (dropping the product, etc.).
Warranty
We provide a 2-year limited warranty, from the date of purchase for all our products.
If you believe you have received a defective product, or are experiencing any problems with your product, please contact us.
This warranty strictly does not cover damages that arose from negligence, misuse, wear and tear, or not in accordance with product instructions (dropping the product, etc.).
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Frequently Asked Questions
- Q: What is the main focus of 'The Art of Multiprocessor Programming'? A: 'The Art of Multiprocessor Programming' primarily focuses on the principles, algorithms, and tools necessary for effective multiprocessor programming, particularly in multicore environments.
- Q: Who is the author of this book? A: The author of 'The Art of Multiprocessor Programming' is Maurice Herlihy.
- Q: Is this book suitable for beginners in parallel programming? A: While the book covers advanced topics, it is designed to provide a comprehensive understanding of multiprocessor programming, making it suitable for both students and professionals, including those with some basic knowledge of programming.
- Q: What updates are included in the revised edition? A: The revised edition includes updates based on classroom feedback since 2008, ensuring that the content reflects the latest improvements and practices in parallel programming.
- Q: Does the book provide practical examples or code? A: Yes, the book provides access to a companion site where readers can download source code, example Java programs, and additional materials to enhance their learning experience.
- Q: What is the page count of this book? A: 'The Art of Multiprocessor Programming' has a total of 536 pages.
- Q: What is the item condition of this book? A: This book is listed as 'New'.
- Q: What type of binding does this book have? A: The book is available in paperback binding.
- Q: When was this book published? A: The book was published on June 5, 2012.
- Q: Can this book help improve my concurrent programming skills? A: Yes, the book covers mainstream concurrent data structures and synchronization techniques, which can significantly enhance your skills in concurrent programming.