Computer Architecture: A Quantitative Approach
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.
レビュー - レビューを書く
1 Fundamentals of Quantitative Design and Analysis
2 Memory Hierarchy Design
3 InstructionLevel Parallelism and Its Exploitation
4 DataLevel Parallelism in Vector SIMD and GPU Architectures
5 ThreadLevel Parallelism
6 WarehouseScale Computers to Exploit RequestLevel and DataLevel Parallelism
Appendix A Instruction Set Principles