Hennessy John L - Computer architecture: a quantitative approach

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Sixth Edition

John L. Hennessy

Stanford University

David A. Patterson

University of California, Berkeley

With Contributions by

Krste Asanovi

University of California, Berkeley

Jason D. Bakos

University of South Carolina

Robert P. Colwell

R&E Colwell & Assoc. Inc.

Abhishek Bhattacharjee

Rutgers University

Thomas M. Conte

Georgia Tech

Jos Duato

Proemisa

Diana Franklin

University of Chicago

David Goldberg

eBay

Norman P. Jouppi

Google

Sheng Li

Intel Labs

Naveen Muralimanohar

HP Labs

Gregory D. Peterson

University of Tennessee

Timothy M. Pinkston

University of Southern California

Parthasarathy Ranganathan

Google

David A. Wood

University of WisconsinMadison

Cliff Young

Google

Amr Zaky

University of Santa Clara

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 architecture, 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 students 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 window 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 promising 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

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 Fellowship, 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 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. He has also received 10 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, 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 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.

David A. Patterson became a Distinguished Engineer at Google in 2016 after 40 years as a 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 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 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 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. His current interests are in designing domain-specific architectures for machine learning, spreading the word on the open RISC-V instruction set architecture, and in helping the UC Berkeley RISELab (Real-time Intelligent Secure Execution).