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Modern Computer Architecture and Organization

Modern Computer Architecture and Organization - Third Edition

By : Jim Ledin
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Modern Computer Architecture and Organization

Modern Computer Architecture and Organization

5 (1)
By: Jim Ledin

Overview of this book

Computer architecture now extends far beyond CPUs, forming the foundation of cloud platforms, AI systems, cybersecurity solutions, and emerging computing technologies. Modern Computer Architecture and Organization, Third Edition, provides a clear, end-to-end understanding of how today’s computer systems are built and why architectural decisions matter more than ever. You’ll begin with the fundamentals of digital logic, processor elements, memory systems, and the hardware–software interface, building a strong grounding that remains essential for every architect and systems engineer. Next, the book explores modern processor and memory architectures, performance-enhancing techniques, virtualization, and mainstream instruction sets, including x86, ARM, and an in-depth treatment of RISC-V. New and significantly expanded chapters extend this foundation into modern computing domains, including AI and large language model (LLM) computing platforms, GPUs, cloud-scale systems, confidential and security-focused architectures, blockchain and Bitcoin mining systems, self-driving vehicle architectures, and future directions such as quantum computing. This edition reflects today’s AI-driven, cloud-centric, security-aware computing landscape while remaining true to the classical principles that continue to underpin modern computer systems.
Table of Contents (28 chapters)
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1
Part 1: Fundamentals of Computer Architecture
8
Part 2: Processor Architectures and Instruction Sets
15
Part 3: Computer System Architectures
23
Part 4: Appendices
27
Index

Summary

Autonomous vehicle technology is a rapidly developing field; however, the current state of the art in publicly available vehicles remains far short of the goal of go-anywhere driverless operation. It may be several years before cars become available that can carry passengers on all types of public roads without needing drivers to operate them and monitor their surroundings.

This chapter presented the key capabilities required of self-navigating vehicle processing architectures. It began with an introduction to the levels of driving autonomy and the safety requirements essential to protecting the vehicle's occupants, other road users, nearby people, and other objects. It then explored the various sensors and data sources that a self-driving vehicle relies on while operating. After that, we reviewed the processing functions required to interpret sensor data, track the vehicle's state and that of surrounding objects, and generate control commands for safe navigation. The...

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Modern Computer Architecture and Organization
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