Table of Contents
List of Figures
- Figures in 1
- Figures in 2
- Figures in 3
- Figures in 4
- Figures in 5
- Figures in 6
- Figures in APPENDIX A
- Figures in APPENDIX B
- Figures in APPENDIX C
- Figures in APPENDIX D
Landmarks
Computer Organization and Design RISC-V Edition
The Hardware Software Interface
Second Edition
David A. Patterson
University of California, Berkeley, Google, Inc
John L. Hennessy
Stanford University
Table of Contents
How to Use
David A. Patterson has been teaching computer architecture at the University of California, Berkeley, since joining the faculty in 1977, where he held the Pardee Chair of Computer Science. 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. 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 coauthor, Patterson is a Fellow of both AAAS organizations, 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 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. He received the Tapia Achievement Award for Civic Science and Diversifying Computing and shared the 2017 ACM A. M. Turing Award with Hennessy.
At Berkeley, Patterson led the design and implementation of RISC I, likely the first VLSI reduced instruction set computer, and the foundation of the commercial SPARC architecture. He was a leader of the Redundant Arrays of Inexpensive Disks (RAID) project, which led to dependable storage systems from many companies. He was also involved in the Network of Workstations (NOW) project, which led to cluster technology used by Internet companies and later to cloud computing. These projects earned four dissertation awards from ACM. In 2016, he became Professor Emeritus at Berkeley and a Distinguished Engineer at Google, where he works on domain specific architecture for machine learning. He is also the Vice Chair of RISC-V International and the Director of the RISC-V International Open Source Laboratory.
John L. Hennessy was a Professor of Electrical Engineering and Computer Science at Stanford University, where he has been a member of the faculty since 1977 and was, from 2000 to 2016, its tenth President. Hennessy is a Fellow of the IEEE and ACM; a member of the National Academy of Engineering, the National Academy of Science, and the American Philosophical Society; and a Fellow of the American Academy of Arts and Sciences. Among his many awards are the 2001 Eckert-Mauchly Award for his contributions to RISC technology, the 2001 Seymour Cray Computer Engineering Award, and the 2000 John von Neumann Award, which he shared with David Patterson. In 2017, they shared the ACM A. M. Turing Award. He has also received seven honorary doctorates.
In 1981, he started the MIPS project at Stanford with a handful of graduate students. After completing the project in 1984, he took a leave from the university to cofound MIPS Computer Systems (now MIPS Technologies), which developed one of the first commercial RISC microprocessors. As of 2006, over 2 billion MIPS microprocessors have been shipped in devices ranging from video games and palmtop computers to laser printers and network switches. Hennessy subsequently led the DASH (Director Architecture for Shared Memory) project, which prototyped the first scalable cache coherent multiprocessor; many of the key ideas have been adopted in modern multiprocessors. In addition to his technical activities and university responsibilities, he has continued to work with numerous start-ups, both as an early-stage advisor and an investor.
He is currently Director of Knight-Hennessy Scholars and serves as non-executive chairman of Alphabet.
Copyright
Morgan Kaufmann is an imprint of Elsevier
50 Hampshire Street, 5th Floor, Cambridge, MA 02139, United States
Copyright 2021 Elsevier Inc. All rights reserved.
No part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopying, recording, or any information storage and retrieval system, without permission in writing from the publisher. Details on how to seek permission, further information about the Publishers permissions policies and our arrangements with organizations such as the Copyright Clearance Center and the Copyright Licensing Agency, can be found at our website: www.elsevier.com/permissions.
This book and the individual contributions contained in it are protected under copyright by the Publisher (other than as may be noted herein).
Notices
Knowledge and best practice in this field are constantly changing. As new research and experience broaden our understanding, changes in research methods, professional practices, or medical treatment may become necessary.
Practitioners and researchers must always rely on their own experience and knowledge in evaluating and using any information, methods, compounds, or experiments described herein. In using such information or methods they should be mindful of their own safety and the safety of others, including parties for whom they have a professional responsibility.
To the fullest extent of the law, neither the Publisher nor the authors, contributors, or editors, assume any liability for any injury and/or damage to persons or property as a matter of products liability, negligence or otherwise, or from any use or operation of any methods, products, instructions, or ideas contained in the material herein.
RISC-V and the RISC-V logo are registered trademarks managed by the RISC-V Foundation, used under permission of the RISC-V Foundation. All rights reserved.
This publication is independent of the RISC-V Foundation, which is not affiliated with the publisher and the RISC-V Foundation does not authorize, sponsor, endorse or otherwise approve this publication.
All material relating to ARM technology has been reproduced with permission from ARM Limited, and should only be used for education purposes. All ARM-based models shown or referred to in the text must not be used, reproduced or distributed for commercial purposes, and in no event shall purchasing this textbook be construed as granting you or any third party, expressly or by implication, estoppel or otherwise, a license to use any other ARM technology or know how. Materials provided by ARM are copyright ARM Limited (or its affi liates).
British Library Cataloguing-in-Publication Data
A catalogue record for this book is available from the British Library
Library of Congress Cataloging-in-Publication Data
