Modern Computer Architecture and Organization
Description
- Explore new and expanded topics, including GPUs, LLM platforms, cloud-scale systems, and cybersecurity
- Apply architectural principles to real-world systems, including confidential computing, blockchain, and autonomous platforms
Book DescriptionComputer 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.What you will learn - Understand digital logic, processor fundamentals, and memory systems
- Explore modern CPU, memory, and I/O architectures
- Compare x86, ARM, and innovative RISC-V designs
- Benefit from performance techniques like caching, pipelining, and parallelism
- Understand virtualization and cloud-scale computing systems
- Learn how AI and LLM computing platforms are architected
- Examine confidential computing and security-focused architectures
- Understand blockchain systems and bitcoin mining computer architectures
- Explore quantum computing and future computing technologies
Who this book is forThis book is designed for software developers, computer engineering and computer science students, system designers, and technical professionals seeking a clear understanding of modern computer architecture. It also suits general readers eager to understand how modern computing devices work. Readers working with PCs, mobile devices, cloud platforms, embedded systems, and AI workloads will gain practical insight to guide better design and performance decisions.
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Content
Preface
I am pleased to present the updated and expanded third edition of Modern Computer Architecture and Organization. Reader comments and questions from the first and second editions have provided valuable insights that helped shape this new edition. Thank you to everyone who took the time to offer feedback!
This edition updates technologies that have advanced since the publication of the second edition and adds substantial new content on critical areas of computer architecture. New chapters provide detailed analyses of Graphics Processing Units (GPUs) and Large Language Models (LLMs).
Over the last few years, the explosive growth of artificial intelligence (AI) has led to drastic shifts in the direction of large-scale computing architecture. The expansion of AI-focused datacenters across the United States and around the world has led to the allocation of enormous quantities of capital, electricity, and water resources to the construction and operation of these facilities.
The two new chapters in this edition provide detailed explanations of how these AI systems operate, beginning at the lowest levels of GPU parallel processing. We examine the detailed processing requirements of an example LLM (we analyze GPT-2, which has a structure that substantially represents current frontier LLMs) and datacenter-scale requirements for physical space, electrical power, and cooling systems.
Chapter 10, Graphics Processing Units, examines modern GPUs both as engines for generating synthetic video scenes and as accelerators for AI training and inference. This new chapter explores the hardware architecture of a modern GPU, from its high-level subsystems that perform data distribution and processor scheduling to its deeply parallel, low-level instruction processing.
Chapter 15, Large Language Model Computing Architectures, explores computing architectures for advanced artificial intelligence systems, specifically large language models. We begin by analyzing early LLM design, using GPT-2 as a case study to illustrate model structure and processing requirements. The chapter examines the computational demands for LLM training and inference, concluding with an analysis of the datacenter infrastructure underpinning today's largest and most sophisticated AI models.
Continuing the tradition of the first two editions, each new chapter contains end-of-chapter exercises designed to deepen your understanding of the material and reinforce key concepts.
I hope you find this updated edition as rewarding to read as it was to develop.
Preface to the second edition
Welcome to the second edition of Modern Computer Architecture and Organization. It has been my pleasure to receive a great deal of feedback and comments from readers of the first edition. Of course, I appreciate all input from readers, especially those who bring any errors and omissions to my attention.
This edition includes updates on technologies that have advanced since the publication of the first edition and adds significant new content in several important areas related to computer architecture. New chapters cover the topics of cybersecurity, blockchain and bitcoin mining, and self-driving vehicle computing architectures.
While the security of computing systems has always been important, recent exploitations of major vulnerabilities in widely used operating systems and applications have resulted in substantial negative impacts in countries around the world. These cyberattacks have accentuated the need for computer system designers to incorporate cybersecurity as a foundational element of system architecture.
Chapter 14, Cybersecurity and Confidential Computing Architectures, focuses on the security needs of critical application areas like national security systems and financial transaction processing. These systems must be resilient against a broad range of cybersecurity threats, including malicious code, covert channel attacks, and attacks enabled by physical access to computing hardware. Topics addressed in this chapter include cybersecurity threats, encryption, digital signatures, and secure hardware and software design.
The explosion of interest in cryptocurrencies and their growing acceptance by mainstream financial institutions and retailers demonstrates that this area of computing is on a continued growth path. This edition adds a chapter on blockchain and the computational demands of bitcoin mining.
Chapter 15, Blockchain and Bitcoin Mining Architectures, introduces the concepts associated with blockchain, a public, cryptographically secured ledger recording a sequence of transactions. We continue with an overview of the process of bitcoin mining, which appends transactions to the bitcoin blockchain and rewards those who complete this task with payment in the form of bitcoin. Bitcoin processing requires high-performance computing hardware, which is illustrated in terms of a current-generation bitcoin mining computer architecture.
The continuing growth in the number of automobiles with partial or full self-driving capabilities demands robust, highly capable computing systems that meet the requirements for safe autonomous vehicle operation on public roadways.
Chapter 16, Self-Driving Vehicle Architectures, describes the capabilities required in self-navigating vehicle processing architectures. It begins with a discussion of the requirements for ensuring the safety of the autonomous vehicle and its occupants, as well as for other vehicles, pedestrians, and stationary objects. We continue with a discussion of the types of sensors and data a self-driving vehicle receives as input while driving and a description of the types of processing required for effective vehicle control. The chapter concludes with an overview of an example self-driving computer architecture.
As in the other chapters, each of the three new chapters contains end-of-chapter exercises designed to broaden your understanding of the chapter topic and cement the information from the chapter within your knowledge base.
I hope you enjoy this updated edition as much as I have enjoyed developing it. Happy reading!
Preface to the first edition
This book presents the key technologies and components employed in modern processor and computer architectures and discusses how various architectural decisions result in computer configurations optimized for specific needs.
To understate the situation quite drastically, modern computers are complicated devices. Yet, when viewed in a hierarchical manner, the functions of each level of complexity become clear. We will cover a great many topics in these chapters and will only have space to explore each of them to a limited degree. My goal is to provide a coherent introduction to each important technology and subsystem you might find in a modern computing device and explain its relationship to other system components.
I will not be providing a lengthy list of references for further reading. The internet is your friend in this regard. If you can manage to bypass the clamor of political and social media argumentation on the internet, you will find yourself in an enormous, cool, quiet library containing a vast quantity of accumulated human knowledge. Learn to use the advanced features of your favorite search engine. Also, learn to differentiate high-quality information from uninformed opinion. Check multiple sources if you have any doubts about the information you're finding. Consider the source: if you are looking for information about an Intel processor, search for documentation published by Intel.
By the end of this book, you will have gained a strong grasp of the computer architectures currently used in a wide variety of digital systems. You will also have developed an understanding of the relevant trends in architectural technology currently underway, as well as some possible disruptive advances in the coming years that may drastically influence the architectural development of computing systems.
Who this book is for
This book is intended for software developers, computer engineering students, system designers, computer science professionals, reverse engineers, and anyone else seeking to understand the architecture and design principles underlying all types of modern computer systems, from tiny embedded devices to smartphones to warehouse-sized cloud server farms. Readers will also explore the directions these technologies are likely to take in the coming years. A general understanding of computer processors is helpful, but is not required.
What this book covers
The information in this book is presented in the following sequence:
Chapter 1, Introducing Computer Architecture, begins with a brief history of automated computing devices and describes the significant technological advances that drove leaps in capability. This is followed by a discussion of Moore's law, with an assessment of its applicability over previous decades and the implications for the future. The basic concepts of computer architecture are introduced in the context of the 6502 microprocessor.
Chapter 2, Digital Logic,...
