Key Features
- 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.
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About the Book
The computing world today is in the middle of a revolution: clients have evolved into mobile devices, and datacenter distribution has moved into the cloud. These two factors have emerged as the dominant paradigms driving programming and hardware innovation today, which students need to master to be prepared for their future careers.
This fully-updated Fifth Edition of Computer Architecture: A Quantitative Approach uncovers the ways in which software and technology in the "cloud" are accessed by cell phones, tablets, laptops, and other mobile computing devices. To help students understand this dramatic shift, mobile and cloud computing are woven into each core chapter, presenting them in the context of design, memory, data, and threading. The final core chapter explores the cloud as a warehouse-scale computer including models, architecture, and infrastructure considerations that drive modern systems. A robust companion site includes lecture slides, figures, additional resources, and a reference library of related material to enhance and support learning from the core text.
Who Should Read This Book
Computer Architects, Computer System Designers, Compiler and System Software Developers, Programmers, Application Developers
New in this Edition
- Each chapter includes two new, real-world examples, one mobile and one datacenter, to illustrate the revolutionary change to personal mobile devices and cloud computing
- Expanded and improved coverage of multicore and GPU architectures
- Completely new chapters on warehouse-scale (cloud) computers (Chapter 6) and vector processors and GPUs (Chapter 4)
- New "Putting it All Together" sections exploring real-world applications, including the pipeline organizations and memory hierarchies of the ARM Cortex A8 processor; the Intel core i7 processor; the NVIDIA GTX-280 and GTX-480 GPUs; and warehouse-scale computing at Google
- Improvements and updates throughout, including updated performance analysis data featuring the new SPECPower benchmark
Companion site materials
- Reference appendices covering storage, embedded systems, interconnection networks, vector processors, VLIW and EPIC, large-scale multiprocessors, computer arithmetic, and instruction set architectures
- Historical perspectives and further readings that explore key ideas presented in each chapter
- Figures from the text, in PPT, EPS and PDF formats
- Sample chapters and the full table of contents
- Links to additional web resources - contact Morgan Kaufmann at mkp.com to add resources created for your course
- Link to additional instructor-only materials
Password-protected instructor-only materials
- Lecture slides designed to follow the progression of topics in the printed text
- Solutions to all case studies and exercises
If you are still using the 4th Edition (2006) you can access the relevant instructor materials at: http://textbooks.elsevier.com/web/manuals.aspx?isbn=9780123704900 45 illustrations
Readership
Computer Architects, Computer System Designers, Compiler and System Software Developers, Programmers, Application Developers
Quotes
"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
Content
View Table of Contents
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