《computer architecture a quantitative approach》 6th edition

【实例简介】
《computer architecture a quantitative approach》 6th edition
In Praise of Computer Architecture: A Quantitative Approach Sixth edition 4 Although important concepts of architecture are timeless this edition has been thoroughly updated with the latest technology developments, costs, examples and references. Keeping pace with recent developments in open-sourced architec ture, the instruction set architecture used in the book has been updated to use the RISC-V ISA from the foreword by Norman P Jouppi, Google Computer Architecture: A Quantitative Approach is a classic that, like fine wine just keeps getting better. I bought my first copy as I finished up my undergraduate degree and it remains one of my most frequently referenced texts today -James hamilton. Amazon web service "Hennessy and patterson wrote the first edition of this book when graduate stu dents built computers with 50,000 transistors. Today, warehouse-size computers contain that many servers, each consisting of dozens of independent processors and billions of transistors. The evolution of computer architecture has been rapid and relentless, but Computer Architecture: A Quantitative Approach has kept pace, with each edition accurately explaining and analyzing the important emerging ideas that make this field so exciting James larus. Microsoft research Another timely and relevant update to a classic, once again also serving as a win dow into the relentless and exciting evolution of computer architecture! The new discussions in this edition on the slowing of Moore's law and implications for future systems are must-reads for both computer architects and practitioners working on broader systems Parthasarathy(Partha) ranganathan, Google I love the Quantitative Approach'books because they are written by engineers, for engineers. John Hennessy and Dave Patterson show the limits imposed by mathematics and the possibilities enabled by materials science Then they teach through real-world examples how architects analyze, measure, and compromise to build working systems. This sixth edition comes at a critical time: Moores Law is fading just as deep learning demands unprecedented compute cycles The new chapter on domain-specific architectures documents a number of prom ising approaches and prophesies a rebirth in computer architecture. Like the scholars of the European renaissance, computer architects must understand our own history and then combine the lessons of that history with new techniques to remake the world.” -Cliff Young, Google This page intentionally left blank Computer Architecture A Quantitative Approach Sixth edition John L Hennessy is 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 10th President. He currently serves as the director of the Knight-Hennessy Fellow ship, which provides graduate fellowships to potential future leaders. Hennessy is a Fellow of the IEEE and ACM, a member of the National Academy of Engineering, the National Acad emy of Science, and the american Philosophical Society, and a Fellow of the american Acad emy of Arts and Sciences. Among his many awards are the 2001 Eckert-Mauchly Award fo 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 he has also received 10 honorary doctorates 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 Com puter Systems, which developed one of the first commercial RISC microprocessors. As of 2017, over 5 billion MIPS microprocessors have been shipped in devices ranging from video games and palmtop computers to laser printers and network switches. Hennessy subse quently 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 responsibi ies, he has continued to work with numerous start-ups, both as an early-stage advisor and an investor David A Patterson became a Distinguished Engineer at Google in 2016 after 40 years as UC Berkeley professor. He joined UC Berkeley immediately after graduating from UCLA. He still spends a day a week in berkeley as an Emeritus Professor 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 Under- graduate 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 leEe John on Neumann Medal and the c&c prize with John Hennessy. Like his co-author, 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 President of the United States, 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 is currently Vice-Chair of the board of Directors of the RISc-v Foundation 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 archite ture. 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. His current interests are in designing domain-specific archi tectures for machine learning, spreading the word on the open risc-v instruction set archi- tecture, and in helping the UC Berkeley RiseLab(real-time Intelligent Secure Execution Computer Architecture A Quantitative Approach Sixth edition John L Hennessy Stanford University Davida。 Patterson University of california, Berkeley With Contributions b Norman P Jouppi Krste asanovic University of California, berkeley eng Jason d. bakos Intel lab University of South carolina Naveen muralimanohar Robert p. colwell R&E Co//l& Assoc inc Gregory D. Peterson Abhishek bhattacharjee University of Tennessee Rutgers University Timothy M. Pinkston 1. Conte University of Southern california Georgia Tech Parthasarathy Ranganathan Jose duato Google Promise David a wood Diana fran klin University of Wisconsin-Madison n/versity Cliff Young ivid Goldberg B Amr Zak University of Santa Cla < MORGAN KAUFMANN PUBLISHERS ELSEVIER AN IMPRINT OF ELSEVIER Morgan Kaufmann is an imprint of elsevier 50 Hampshire Street, 5th Floor, Cambridge, MA 02139, United States C 2019 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 LicensingAgency,canbefoundatourwebsitewww.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 know ledge 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 Library of Congress Cataloging-in-Publication Data A catalog record for this book is available from the library of congress British Library Cataloguing-in-Publication Data A catalogue record for this book is available from the british library ISBN:978-0-12-811905-1 For information on all Morgan Kaufmann publications visitourwebsiteathttps://www.elsevier.com/books-and-journals Working together to grow libraries in L SEVIER Inert iona developing countries www.elsevier.com.www.bookaid.org Publisher: Katey birtche Acquisition Editor: Stephen merken Developmental Editor: Nate McFadden Production Project Manager: Stalin Viswanathan Cover Designer: Christian J. Bilbow Typeset by SPi Global, India To Andrea linda, and our four sons This page intentionally left blank 【实例截图】
【核心代码】