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Computer Architecture: A Quantitative Approach (The Morgan Kaufmann Series in Computer Architecture and Design)

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en Limba Engleză Carte Paperback – 15 Dec 2017

Computer Architecture: A Quantitative Approach, Sixth Edition has been considered essential reading by instructors, students and practitioners of computer design for over 20 years. The sixth edition of this classic textbook from Hennessy and Patterson, winners of the 2017 ACM A.M. Turing Award recognizing contributions of lasting and major technical importance to the computing field, is fully revised with the latest developments in processor and system architecture. The text now features examples from the RISC-V (RISC Five) instruction set architecture, a modern RISC instruction set developed and designed to be a free and openly adoptable standard. It also includes a new chapter on domain-specific architectures and an updated chapter on warehouse-scale computing that features the first public information on Google's newest WSC.
True to its original mission of demystifying computer architecture, this edition continues the longstanding tradition of focusing on areas where the most exciting computing innovation is happening, while always keeping an emphasis on good engineering design.

 

 

 

  • Winner of a 2019 Textbook Excellence Award (Texty) from the Textbook and Academic Authors Association
  • Includes a new chapter on domain-specific architectures, explaining how they are the only path forward for improved performance and energy efficiency given the end of Moore’s Law and Dennard scaling
  • Features the first publication of several DSAs from industry
  • Features extensive updates to the chapter on warehouse-scale computing, with the first public information on the newest Google WSC
  • Offers updates to other chapters including new material dealing with the use of stacked DRAM; data on the performance of new NVIDIA Pascal GPU vs. new AVX-512 Intel Skylake CPU; and extensive additions to content covering multicore architecture and organization
  • Includes "Putting It All Together" sections near the end of every chapter, providing real-world technology examples that demonstrate the principles covered in each chapter
  • Includes review appendices in the printed text and additional reference appendices available online
  • Includes updated and improved case studies and exercises
  • ACM named John L. Hennessy and David A. Patterson, recipients 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

 

 

 

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Specificații

ISBN-13: 9780128119051
ISBN-10: 0128119055
Pagini: 936
Ilustrații: 45 illustrations
Dimensiuni: 191 x 235 x 49 mm
Greutate: 2.09 kg
Ediția: 6
Editura: ELSEVIER SCIENCE
Seria The Morgan Kaufmann Series in Computer Architecture and Design


Public țintă

Computer Architects, Computer System Designers, Compiler and System Software Developers, Programmers, Application Developers

Cuprins

Printed Text 1. Fundamentals of Quantitative Design and Analysis 2. Memory Hierarchy Design 3. Instruction-Level Parallelism and Its Exploitation 4. Data-Level Parallelism in Vector, SIMD, and GPU Architectures 5. Multiprocessors and Thread-Level Parallelism 6. The Warehouse-Scale Computer 7. Domain Specific Architectures A. Instruction Set Principles B. Review of Memory Hierarchy C. Pipelining: Basic and Intermediate Concepts
Online D. Storage Systems E. Embedded Systems F. Interconnection Networks G. Vector Processors H. Hardware and Software for VLIW and EPIC I. Large-Scale Multiprocessors and Scientific Applications J. Computer Arithmetic K. Survey of Instruction Set Architectures L. Advanced Concepts on Address Translation M. Historical Perspectives and References


Recenzii

"What has made this book an enduring classic is that each edition is not an update, but an extensive revision that presents the most current information and unparalleled insight into this fascinating and fast changing field. For me, after over twenty years in this profession, it is also another opportunity to experience that student-grade admiration for two remarkable teachers." --From the Foreword by Luiz Andre Barroso, Google, Inc.