- Paperback: 704 pages
- Publisher: Morgan Kaufmann; 4 edition (September 27, 2006)
- Language: English
- ISBN-10: 0123704901
- ISBN-13: 978-0123704900
- Product Dimensions: 7.5 x 1 x 9 inches
- Shipping Weight: 2.6 pounds (View shipping rates and policies)
- Average Customer Review: 173 customer reviews
- Amazon Best Sellers Rank: #1,006,565 in Books (See Top 100 in Books)
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Computer Architecture: A Quantitative Approach, 4th Edition 4th Edition
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“If Neil Armstrong offers to give you a tour of the lunar module, or Tiger Woods asks you to go play golf with him, you should do it. When Hennessy and Patterson offer to lead you on a tour of where computer architecture is going, they call it Computer Architecture: A Quantitative Approach, 4th Edition. You need one. Tours leave on the hour.
― Robert Colwell, Intel lead designer
“The book has been updated so it covers the latest computer architectures like the 64-bit AMD Opteron as well as those from Sun, Intel and other major vendors ... I highly recommend this book for those learning about computer architecture or those wanting to understand architectures that differ from those they are currently using. It does an excellent job of
covering most of the major architectural approaches employed today.
― William Wong, Electronic Design, November 2006
“Computer hardware is entering into a new era, what with multicore processing, virtualization and other enhancements … Computer Architecture covers these topics and updates the insightful work in the earlier editions that laid out the full range of metrics needed for evaluating processor performance.
― Joab Jackson, GCN, November 20, 2006
The best-selling computer architecture book redefines the field with each new edition
Top customer reviews
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It does not cover the absolute latest processors. But it doesn't have to. It will give you the background needed that when you go to the website that have technical details of a new architecture (e.g. Ars Technica), chances are good you will know the concepts they reference.
Who shouldn't buy this: Programmer's in high level languages expecting to learn some black magic way to speed up your code. Even assembly language programmers have been mostly sidelined by the power of a modern CPU to optimize high-level languages.
The GPU chapter was fun to read.
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.