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Computer Architecture: A Quantitative Approach (ISSN) (English Edition) 5th 版, Kindle版
Computer Architecture: A Quantitative Approach, Fifth Edition, explores the ways that software and technology in the cloud are accessed by digital media, such as cell phones, computers, tablets, and other mobile devices. The book, which became a part of Intel's 2012 recommended reading list for developers, covers the revolution of mobile computing. It also highlights the two most important factors in architecture today: parallelism and memory hierarchy.
This fully updated edition is comprised of six chapters that follow a consistent framework: explanation of the ideas in each chapter; a crosscutting issues section, which presents how the concepts covered in one chapter connect with those given in other chapters; a putting it all together section that links these concepts by discussing how they are applied in real machine; and detailed examples of misunderstandings and architectural traps commonly encountered by developers and architects. Formulas for energy, static and dynamic power, integrated circuit costs, reliability, and availability are included. The book also covers virtual machines, SRAM and DRAM technologies, and new material on Flash memory. Other topics include the exploitation of instruction-level parallelism in high-performance processors, superscalar execution, dynamic scheduling and multithreading, vector architectures, multicore processors, and warehouse-scale computers (WSCs). There are updated case studies and completely new exercises. Additional reference appendices are available online.
This book will be a valuable reference for computer architects, programmers, application developers, compiler and system software developers, computer system designers and application developers.
- Part of Intel's 2012 Recommended Reading List for Developers
- Updated to cover the mobile computing revolution
- Emphasizes the two most important topics in architecture today: memory hierarchy and parallelism in all its forms.
- Develops common themes throughout each chapter: power, performance, cost, dependability, protection, programming models, and emerging trends ("What's Next")
- Includes three review appendices in the printed text. Additional reference appendices are available online.
- Includes updated Case Studies and completely new exercises.
- ISBN-13978-0123838728
- 版第5
- 出版社Morgan Kaufmann
- 発売日2011/10/7
- 言語英語
- ファイルサイズ30572 KB
- 販売: Amazon Services International LLC
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商品の説明
レビュー
"What has made this book an enduring classic is that each edition is not an update, but an extensive revision that presents the most current information and unparalleled insight into this fascinating and fast changing field. For me, after over twenty years in this profession, it is also another opportunity to experience that student-grade admiration for two remarkable teachers." --From the Foreword by Luiz André Barroso, Google, Inc. "This is an academic textbook that is also suitable for a far broader readership. Each chapter is organised in the same structure, with the main content supported by case studies and exercises… Having read this book I now have a far better understanding of why processors from all the different designers and manufacturers are so different. Memory hierarchies, multicore architectures and compiler optimisation are all covered in great detail. I was particularly interested in their discussion of graphical processing units and how they are suitable for far more than just graphical workloads… What is great about this book is that it moves with the times. There is a lot of content on processors for mobile computing, and power usage is a pervasive theme. At the other extreme there is an excellent chapter on warehouse scale computers, which offers tremendous insight into the cloud computing infrastructure provided by Google, Amazon and others. If your job has anything to do with IT infrastructure then I recommend this book as a must-read. As an academic text book it has both depth and breadth. And if you're just interested in the topic you'll gain a huge amount of insight into the fundamentals of computer architecture." --The Chartered Institute for IT
著者について
David Patterson is the Pardee Professor of Computer Science, Emeritus at the University of California at Berkeley, which he joined after graduating from UCLA in 1977.His teaching has been honored by the Distinguished Teaching Award from the University of California, the Karlstrom Award from ACM, and the Mulligan Education Medal and Undergraduate Teaching Award from IEEE. Prof. Patterson received the IEEE Technical Achievement Award and the ACM Eckert-Mauchly Award for contributions to RISC, and he shared the IEEE Johnson Information Storage Award for contributions to RAID. He also shared the IEEE John von Neumann Medal and the C & C Prize with John Hennessy. Like his co-author, Prof. Patterson is a Fellow of the American Academy of Arts and Sciences, the Computer History Museum, ACM, and IEEE, and he was elected to the National Academy of Engineering, the National Academy of Sciences, and the Silicon Valley Engineering Hall of Fame. He served on the Information Technology Advisory Committee to the U.S. President, as chair of the CS division in the Berkeley EECS department, as chair of the Computing Research Association, and as President of ACM. This record led to Distinguished Service Awards from ACM, CRA, and SIGARCH.
登録情報
- ASIN : B0067KU84U
- 出版社 : Morgan Kaufmann; 第5版 (2011/10/7)
- 発売日 : 2011/10/7
- 言語 : 英語
- ファイルサイズ : 30572 KB
- Text-to-Speech(テキスト読み上げ機能) : 有効
- X-Ray : 有効にされていません
- Word Wise : 有効
- 付箋メモ : Kindle Scribeで
- 本の長さ : 856ページ
- Amazon 売れ筋ランキング: - 718,069位洋書 (洋書の売れ筋ランキングを見る)
- - 173位Microprocessor Design
- - 527位Computer Hardware Design & Architecture
- - 13,577位Computers & Internet
- カスタマーレビュー:
著者について
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他の国からのトップレビュー
It covers all I wanted to know, explained it all clearly and gave me a deeper understanding. It is nicely complemented by Ulrich Drepper's "what every programmer should know about memory" (the first 60 pages were sufficient for me, but I do recommend that too).
It's accessibility depends on prior knowledge; you need to know a decent amount first and this would be totally unsuitable for a beginner.
About the only thing it didn't do a good job on was explaining way prediction - how does that prediction actually occur? Going on the web didn't help as they all seemed to copy or paraphrase from the book without adding anything.
Summary: you need a good foundation to understand this book but if you have that, it's excellent.
This book is heavy enough to concuss someone with it with a good swing, and there's almost an equal number of pages in accompanying appendices in digital format. That is a lot of material, but it goes a great deal into the minutiae of the low level functions that you probably didn't learn correctly the first time around. Knowledge of basic digital design, organization, a C-based language and familiarity with generic assembly is recommended before tackling this thing.
The authors are very well known cause of the quality and comprehensiveness of this stuff.
Besides the material available on the website is also very useful to study and to teach.