Concurrent Programming: Principles and Practice By Greg Andrews
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'Concurrent Programming: Principles and Practice' equips both novice and seasoned programmers with essential tools to master concurrent programming, a vital skill in today's multi-core processing era.
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Product Details
| Publication Name | Concurrent Programming : Principles and Practice |
| ISBN | 9780805300864 |
| Subject Area | Computers |
| Publisher | Addison Wesley |
| Item Length | 7.8 in (19.8 cm) |
| Subject | Programming / Parallel |
| Publication Year | 1991 |
| Type | Textbook |
| Format | Trade Paperback |
| Language | English |
| Item Height | 1.3 in (3.3 cm) |
| Author | Gregory R. Andrews |
| Item Weight | 38.6 Oz (1094.31 grams) |
| Item Width | 9.6 in (24.4 cm) |
| Number of Pages | 656 Pages |
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Editorial Review
Concurrent Programming: Principles And Practice By Greg Andrews is an essential textbook for understanding the complexities of parallel programming. With its detailed 656 pages, this publication dives deep into key principles that are paramount to concurrent programming, making it an invaluable resource for both students and professionals in the field of computer science. The book boasts a well-structured format, offering insights into various programming paradigms that enhance learning. Many readers appreciate its clear explanations and practical examples, positioning it as a foundational text in the subject area of programming and parallelism.
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Pros
- Comprehensive coverage of concurrent programming principles
- Clear explanations and examples for better understanding
- Well-structured and easy to follow
- Suitable for both students and professionals
- Published by a reputable publisher, Addison Wesley
Cons
- Lengthy textbook may require a significant time commitment
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Features & Benefits
- Essential resource for understanding concurrent programming principles.
- Thorough exploration of core concepts: threads, processes, synchronization.
- Offers practical insights and detailed examples for effective learning.
- Helps optimize performance through better workload distribution.
- Applicable across various industries, enhancing web servers, operating systems, etc.
- Suitable for both students and professionals in software development.
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