Description
Fully updated to account for emerging technologies, this comprehensive work on computer architecture explores cutting edge technologies in computer design and is intended for advanced undergraduate and graduate students in hardware engineering as well as professionals interested in state of the art developments. Beginning with an overview of principles of quantitative design and analysis, the work covers topics such as memory hierarchies, instruction, data and thread level parallelism, large scale computing for cloud and distributive computing tasks, pipelining, and GPU based parallel processing. Chapters include numerous technical illustrations, tables, and code samples as well as case studies and practice exercises. Patterson is the chair of computer science at the University of California, Berkeley and Hennessy is the president of Stanford University. Annotation ©2011 Book News, Inc., Portland, OR (booknews.com)
Read More
Computer Architecture: A Quantitative Approach 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 became a part of Intel's 2012 recommended reading list for developers, and it covers the revolution of mobile computing. The text also highlights the two most important factors in architecture today: parallelism and memory hierarchy.The six chapters that this book is composed of 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.The first chapter of the book includes formulas for energy, static and dynamic power, integrated circuit costs, reliability, and availability. Chapter 2 discusses memory hierarchy and includes discussions about virtual machines, SRAM and DRAM technologies, and new material on Flash memory. The third chapter covers the exploitation of instruction-level parallelism in high-performance processors, superscalar execution, dynamic scheduling and multithreading, followed by an introduction to vector architectures in the fourth chapter. Chapters 5 and 6 describe multicore processors and warehouse-scale computers (WSCs), respectively.This book is an important reference for computer architects, programmers, application developers, compiler and system software developers, computer system designers and application developers.Part of Intel's 2012 Recommended Reading List for DevelopersUpdated to cover the mobile computing revolutionEmphasizes the two most important topics in architecture today: memory hierarchy and parallelism in all its forms.Develops common themes throughout each chapter: power, performance, cost, dependability, protection, programming models, and emerging trends ("What's Next")Includes three review appendices in the printed text. Additional reference appendices are available online.Includes updated Case Studies and completely new exercises.
Read Less