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计算机组成原理与设计:软件与硬件接口 英文第五版
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2019-04-25
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《计算机组成与设计硬件:软件接口》(原书第3版)是计算机组成的经典教材。全书着眼于当前计算机设计中最基本的概念,展示了软硬件间的关系,并全面介绍当代计算机系统发展的主流技术和最新成就。同以往版本一样,《计算机组成与设计硬件:软件接口》采用MIPS处理器作为展示计算机硬件技术基本功能的核心。书中逐条指令地列举了完整的MIPS指令集,并介绍了网络和多处理器结构的基本内容。将CPU性能和程序性能紧密地联系起来是本版的一个新增内容。另外,本版对软硬件的讨论更加深入,作者展示了软硬件部件如何影响程序的性能,并在光盘中为侧重硬件和侧重软件的读者分别提供了相关资料。随书光盘内容非常丰富,不仅包括各种配套教学资源,还提供了HDL模拟器、MIPS模拟器以及FPGA设计工具等软件。
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In Praise of Computer Organization and Design: The Hardware/
Software Interface, Fifth Edition
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“Patterson and Hennessy brilliantly address the issues in ever-changing computer
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Computer Organization and Design
THE HARDWARE/SOFTWARE INTERFACE
FIFTH EDITION
David A. Patterson has been teaching computer architecture at the University of
California, Berkeley, since joining the faculty in 1977, where he holds 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 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 U.S. President, as chair of the
CS division in the Berkeley EECS department, as chair of the Computing Research
Association, and as President of ACM. is record led to Distinguished Service Awards
from ACM and CRA.
At Berkeley, Patterson led the design and implementation of RISC I, likely the rst
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. ese
projects earned three dissertation awards from ACM. His current research projects
are Algorithm-Machine-People and Algorithms and Specializers for Provably Optimal
Implementations with Resilience and E ciency. e AMP Lab is developing scalable
machine learning algorithms, warehouse-scale-computer-friendly programming
models, and crowd-sourcing tools to gain valuable insights quickly from big data in
the cloud. e ASPIRE Lab uses deep hardware and so ware co-tuning to achieve the
highest possible performance and energy e ciency for mobile and rack computing
systems.
John L. Hennessy is the tenth president of Stanford University, where he has been
a member of the faculty since 1977 in the departments of electrical engineering and
computer science. 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.
In 1981, he started the MIPS project at Stanford with a handful of graduate students.
A er 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 rst
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 rst 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.
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