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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

SIMD processing

Some algorithms benefit from explicitly vectorized execution, which means the same operation is performed simultaneously on multiple data items. Processor instructions tailored to such tasks are called SIMD instructions. SIMD execution contrasts with the behavior of superscalar processors, which typically issue multiple instructions at once, each performing a different operation on different data—an example of multiple-instruction, multiple-data (MIMD) parallel processing. Some common algorithms, such as the dot product used in digital signal processing (described in Chapter 6, Specialized Computing Domains), perform the same mathematical operation on an array of values and benefit significantly from SIMD processing.

While the multiply-accumulate (MAC) operation described in Chapter 6 performs scalar mathematical operations on each pair of vector elements in sequence, it is also possible to implement processor hardware and instructions capable of performing the...

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