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ACM named John L. Hennessy a recipient of the 2017 ACM A.M. Turing Award for pioneering a systematic, quantitative approach to the design and evaluation of computer architectures with enduring impact on the microprocessor industry. 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 tenth President. Prof. 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 seven honorary doctorates.
Printed Text Chap 1: Fundamentals of Quantitative Design and Analysis Chap 2: Memory Hierarchy Design Chap 3: Instruction-Level Parallelism and Its Exploitation Chap 4: Data-Level Parallelism in Vector, SIMD, and GPU Architectures Chap 5: Multiprocessors and Thread-Level Parallelism Chap 6: The Warehouse-Scale Computer App A: Instruction Set Principles App B: Review of Memory Hierarchy App C: Pipelining: Basic and Intermediate Concepts
Online App D: Storage Systems App E: Embedded Systems App F: Interconnection Networks App G: Vector Processors App H: Hardware and Software for VLIW and EPIC App I: Large-Scale Multiprocessors and Scientific Applications App J: Computer Arithmetic App K: Survey of Instruction Set Architectures App L: Historical Perspectives
Computer Architecture: A Quantitative Approach, Fifth Edition, explores the ways that software and technology in the cloud are accessed by digital media, such as cell phones, computers, tablets, and other mobile devices. The book, which became a part of Intel's 2012 recommended reading list for developers, covers the revolution of mobile computing. It also highlights the two most important factors in architecture today: parallelism and memory hierarchy.
This fully updated edition is comprised of six chapters that follow a consistent framework: explanation of the ideas in each chapter; a crosscutting issues section, which presents how the concepts covered in one chapter connect with those given in other chapters; a putting it all together section that links these concepts by discussing how they are applied in real machine; and detailed examples of misunderstandings and architectural traps commonly encountered by developers and architects. Formulas for energy, static and dynamic power, integrated circuit costs, reliability, and availability are included. The book also covers virtual machines, SRAM and DRAM technologies, and new material on Flash memory. Other topics include the exploitation of instruction-level parallelism in high-performance processors, superscalar execution, dynamic scheduling and multithreading, vector architectures, multicore processors, and warehouse-scale computers (WSCs). There are updated case studies and completely new exercises. Additional reference appendices are available online.
This book will be a valuable reference for computer architects, programmers, application developers, compiler and system software developers, computer system designers and application developers.
