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Item #:
86022723
Computer Architecture: A Quantitative Approach, 3rd Edition
90% of respondents would recommend this to a friend
Item #:
86022723
AUD 115
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What Stands Out
Comprehensive Coverage
This edition provides detailed insights into modern computer architecture, ensuring readers understand both foundational concepts and the latest advancements in the field.
Quantitative Methods
Focusing on quantifiable performance evaluation, this book equips students with analytical tools to assess and optimize computer design choices effectively.
Real-World Applications
Includes practical examples and case studies that demonstrate the application of theoretical principles in real-world scenarios, enhancing student engagement and learning.
Product Details
| Country of Origin | This item will be imported from US |
| Item Weight | 4.5 lbs (2.04 kg) |
| What is in the box | Computer Architecture: A Quantitative... For more details, please check description/product details |
Who Should Buy?
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Students in Academia
Ideal for graduate-level computer architecture courses, providing in-depth analysis and quantitative methods essential for understanding the subject.
-
Industry Professionals
Valuable for engineers and developers seeking to deepen their knowledge of computer architecture principles and design decisions.
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Research Scholars
Great for researchers needing comprehensive data and frameworks for evaluating performance in computer architecture studies and projects.
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Casual Learners
Not suitable for recreational learners as it is academically rigorous and requires prior knowledge of computer engineering concepts.
Product Description
Computer Architecture: A Quantitative Approach, 3rd Edition
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Design & Architecture Editorial Review
**** "Computer Architecture: A Quantitative Approach, 3rd Edition" is a profound and comprehensive resource tailored for advanced learners in the field of computer architecture. It is not an introductory text; the authors assume that readers possess a foundational understanding of computer architecture principles. Instead, the book aims to delve deep into a quantitative analysis of different computer architecture implementations, elucidating the circumstances in which various designs excel. The text is dense, comprising over 1,100 pages when Considering the additional online appendices, and offers a wealth of analytical data, illustrative examples, and detailed discussions on modern architectures, such as IA-64 and Sony PlayStation II. The book excels in presenting complex concepts in a structured manner, adorned with graphs, figures, and a thorough bibliography, making it richer in quality than many other similar texts despite its complexity. However, this depth also means that the book is not easy to digest. Many readers note that it requires close concentration and a solid grasp of foundational topics in computer science to navigate effectively. While some chapters, like that on pipelining, have been condensed significantly compared to previous editions, the quality and detail provided in the new chapters have generally been praised as beneficial for understanding the intricacies of contemporary computer architecture. Readers recommend that those unfamiliar with fundamental concepts in electronics and programming should first engage with supplementary textbooks by the same authors, such as "Computer Organization and Design," before attempting this one. Despite some criticism regarding its reading complexity and ambiguity in exercise questions, the overall Consensus is that the book is an invaluable resource packed with insightful information for dedicated individuals ready to explore the depths of computer architecture. The text stands out as a definitive guide for students and professionals alike who wish to gain an in-depth understanding of the mechanics behind computer systems. **
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Pros
- Deep and comprehensive coverage of computer architecture.
- Rich in quantitative analysis with detailed, informative figures and graphs.
- Relevant and updated information on modern architectures.
- Structured approach that aids in understanding despite complexity.
Cons
- Not suitable for beginners; requires prior knowledge of computer architecture.
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