About this book:

"From Bits to Silicon: A Modern Guide to Computer Architecture" offers a comprehensive exploration of how computing hardware functions, from the foundational logic gates to cutting-edge processor designs and future trends. The book begins by establishing the basics of digital logic, binary arithmetic, and instruction set architectures (ISAs), contrasting RISC and CISC philosophies like ARM and x86, respectively. It then delves into microarchitectural fundamentals, detailing datapaths, control units, and the crucial concept of pipelining to enhance instruction throughput, along with strategies to mitigate hazards and stalls.

A significant portion of the book is dedicated to performance-critical mechanisms that optimize modern processors. Chapters cover advanced topics such as branch prediction and speculative execution, which proactively guess future program paths to keep pipelines full, and out-of-order/superscalar execution, enabling multiple instructions to run concurrently and dynamically. The memory hierarchy is thoroughly examined, explaining multi-level caches (L1 to LLC), cache coherence protocols (MESI), and memory consistency models, as well as virtual memory and address translation via TLBs. The text also details the evolution of interconnects, from traditional buses to high-performance crossbars and Networks-on-Chip (NoCs), crucial for communication in multicore and manycore systems.

The guide further expands into the realm of parallel computing, discussing multicore and manycore processors, including Simultaneous Multithreading (SMT) and Non-Uniform Memory Access (NUMA) architectures. It covers Single Instruction, Multiple Data (SIMD) and vectorization techniques, along with the specialized architectures and programming models of Graphics Processing Units (GPGPUs) for data-parallel workloads. The importance of heterogeneous computing and dedicated accelerators like DSPs, FPGAs, and AI accelerators is highlighted. Subsequent sections address critical non-functional aspects: storage and I/O subsystems, power, thermal, and energy-efficient design, and the vital considerations of reliability, fault tolerance, and resilience against errors and aging.

The book also addresses the increasingly critical domain of security at the microarchitectural level, detailing side-channel attacks like Spectre and Meltdown, and the hardware/software mitigations employed. It dedicates a chapter to performance measurement, profiling tools, and methodologies, emphasizing a data-driven approach to optimization. The interaction between compilers and hardware is explored through code generation and optimization techniques like register allocation, loop transformations, and Profile-Guided Optimization. Practical application is reinforced through case studies of modern CPU (Arm Neoverse V1, Intel Sunny Cove, AMD Zen 4) and GPU (NVIDIA Ampere) microarchitectures, contrasting their design philosophies and trade-offs. The culmination of the book looks to the future, discussing innovations like chiplets, 3D stacking, near-memory processing, and domain-specific architectures as solutions to the challenges of post-Moore computing.

What You'll Find Inside:

• Explores fundamental computer architecture principles, from digital logic and instruction sets (RISC/CISC) to the core components of microarchitecture like datapaths, control, pipelining, and caches.
• Covers advanced high-performance techniques in detail, including branch prediction, out-of-order and superscalar execution, cache coherence models, virtual memory, and interconnects like buses and Networks-on-Chip (NoC).
• Dedicates significant attention to modern parallel and specialized architectures, such as multicore/manycore processors, SIMD vectorization, GPGPU programming models, and heterogeneous systems with various accelerators.
• Addresses critical cross-cutting concerns in contemporary design, including power and thermal management, reliability and fault tolerance, and microarchitectural security vulnerabilities like side-channel attacks and speculative execution exploits.
• Provides practical guidance on performance engineering, profiling tools, and methodology, analyzing compiler interactions and offering real-world case studies of modern CPU and GPU microarchitectures to bridge theory and practice.

Who's It For:

This book is primarily for software and hardware engineers who want to understand how their code interacts with modern silicon. It is especially valuable for performance engineers, compiler developers, and systems programmers working on optimization, but also serves as a comprehensive resource for computer science students and anyone building high-performance, parallel, or latency-sensitive applications.