RISC-V Architecture and Implementation Guide: Definitive Reference for Developers and Engineers
暫譯: RISC-V 架構與實作指南：開發者與工程師的權威參考

The "RISC-V Architecture and Implementation Guide" offers a comprehensive and authoritative exploration of the RISC-V instruction set architecture, guiding readers through its foundational principles of simplicity, modularity, and open design. Structured to serve both newcomers and seasoned engineers, the book begins by delving into the architectural philosophy that underpins RISC-V, its specification ecosystem, and a detailed comparison with legacy ISAs like x86, ARM, and MIPS. Readers gain context on RISC-V's evolution and adoption, learning how the openness and extensibility of the platform are driving its widespread industry and academic momentum.
Progressing from architectural theory to hands-on technical depth, the guide examines RISC-V instruction sets, including standard and experimental extensions, and provides a meticulous overview of microarchitecture design practices. Topics such as pipeline architectures, branch prediction, memory hierarchy integration, and performance profiling are addressed alongside practical implementation strategies. The book rigorously covers privilege architectures, system-level features, and best practices in RTL development, FPGA prototyping, SoC integration, and verification-equipping hardware designers with vital knowledge for robust and efficient RISC-V system realization.
The latter chapters showcase the dynamic RISC-V software ecosystem and the architecture's extensibility into domain-specific accelerators and custom silicon design. Readers are walked through toolchain internals, compiler support, OS integration, and security, reliability, and robustness considerations vital for modern compute environments. Concluding with insights into emerging research, future roadmap, and case studies in industry adoption, this guide is an indispensable resource for professionals, researchers, and anyone invested in shaping the future of open and extensible computing.