Computer Architecture
$77.41
- Paperback
560 pages
- Release Date
4 June 2024
Summary
Not since the 1980s has computer architecture been so exciting! This book captures the moment, mining the history of computing to teach key concepts in modern hardware design and introduce the neural and quantum architectures of the future.
Computer Architecture is an in-depth exploration of the principles and designs that have shaped computer hardware through the ages, from counting devices like the abacus, to Babbage’s Difference Engine, to modern GPUs and the frontiers of quantum c…
Book Details
| ISBN-13: | 9781718502864 |
|---|---|
| ISBN-10: | 1718502869 |
| Author: | Charles Fox |
| Publisher: | No Starch Press,US |
| Imprint: | No Starch Press,US |
| Format: | Paperback |
| Number of Pages: | 560 |
| Release Date: | 4 June 2024 |
| Weight: | 369g |
| Dimensions: | 177mm x 234mm |
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Critics Review
“Dr Fox has cleverly crafted a captivating journey through computer architectures bringing to life what it is to be a computer. An indispensable guide from fundamental concepts to future architectures touching on everything in between. With clear concepts and examples alongside a beginner-friendly style, this book is a wonderful example of what a computer architecture textbook should be.
This belongs on every computer science student’s desk, during and for many years after their studies. Not only highly recommended, but indispensable.”
—Garry Clawson, PhD student, University of Cambridge
“I really enjoyed reading this textbook. That’s not something I’ve ever written after reading a technical book, but Charles Fox writes with a style that is both conversational and invitational that kept me reading… . [A]ny programmer who wants a better understanding of the systems she is using would find her time well spent reading this book.”
—Rik Farrow, Usenix
Charles Fox
Charles Fox is an award-winning senior lecturer at the University of Lincoln, UK. With degrees from Cambridge, Oxford, and the University of Edinburgh, Fox has published over 100 research papers, which often apply embedded, smart, parallel, and neural architectures to AI and robotics. He’s a Fellow of the Higher Education Academy (FHEA) and the author of Data Science for Transport (Springer, 2018).
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