Computer Organization and Design The Hardware Software Interface

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Computer Organization and Design The Hardware Software Interface

PDF Free Download | Computer Organization and Design The Hardware/Software Interface Risiv-V Edition by David A.Patterson and John L. Hennessy.

Authors of Computer Organization and Design

David A. Patterson is the Pardee Professor of Computer Science, Emeritus at the University of California at Berkeley, which he joined after graduating from UCLA in 1977.

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 US President, 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. 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. His current research projects are Algorithm-Machine-People and Algorithms and Specializers for Provably Optimal Implementations with Resilience and Efficiency.

The 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. The ASPIRE Lab uses deep hardware and software co-tuning to achieve the highest possible performance and energy efficiency for mobile and rack computing systems.

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.

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. 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

Computer Organization and Design Contents

  1. Computer Abstractions and Technology
  2. Instructions: Language of the Computer
  3. Arithmetic for Computers
  4. The Processor
  5. Large and Fast: Exploiting Memory Hierarchy
  6. Parallel Processors from Client to Cloud
  7. The Basics of Logic Design

Computer Organization and Design Online Contents

  1. Graphics and Computing GPUs 
  2. Mapping Control to Hardware
  3. A Survey of RISC Architectures for Desktop, Server, and Embedded Computers

Preface to Computer Organization and Design PDF

About of Computer Organization and Design 

We believe that learning in computer science and engineering should reflect the current state of the field, as well as introduce the principles that are shaping computing.

We also feel that readers in every specialty of computing need to appreciate the organizational paradigms that determine the capabilities, performance, energy, and, ultimately, the success of computer systems.

Modern computer technology requires professionals of every computing specialty to understand both hardware and software.

The interaction between hardware and software at a variety of levels also offers a framework for understanding the fundamentals of computing. Whether your primary interest is hardware or software, computer science or electrical engineering, the central ideas in computer organization and design are the same.

Thus, our emphasis in this book is to show the relationship between hardware and software and to focus on the concepts that are the basis for current computers.

The recent switch from uniprocessor to multicore microprocessors confirmed the soundness of this perspective, given since the first edition.

While programmers could ignore the advice and rely on computer architects, compiler writers, and silicon engineers to make their programs run faster or be more energy-efficient without change, that era is over.

For programs to run faster, they must become parallel. While the goal of many researchers is to make it possible for programmers to be unaware of the underlying parallel nature of the hardware they are programming, it will take many years to realize this vision.

Our view is that for at least the next decade, most programmers are going to have to understand the hardware/software interface if they want programs to run efficiently on parallel computers.

The audience for this book includes those with little experience in assembly language or logic design who need to understand basic computer organization as well as readers with backgrounds in assembly language and/or logic design who want to learn how to design a computer or understand how a system works and why it performs as it does.

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