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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
RISC-V From Early RISC Architectures to the Future of Global Computing System

RISC-V From Early RISC Architectures to the Future of Global Computing System

Bakowski, Przemyslaw

Paperback

General Computers

ISBN13: 9798257503184
Publisher: Independently Published
Published: Apr 15 2026
Pages: 174
Weight: 0.53
Height: 0.37 Width: 6.00 Depth: 9.00
Language: English
This book analyzes the evolution of reduced instruction set computing (RISC), from early academic research to the global RISC-V ecosystem. It focuses on how instruction set design, semiconductor industry structure, and geopolitical dynamics have jointly shaped modern computing platforms, with particular attention to RISC-V and China's rapid ecosystem development.

RISC originated at the University of California, Berkeley (RISC-I, RISC-II) and Stanford (MIPS), introducing simplified instructions, load/store architectures, and efficient pipelining as an alternative to CISC complexity. The SPARC-MIPS divergence refined core principles such as register organization and execution efficiency, forming the basis of modern processor design.

RISC concepts were later adopted in IBM POWER, SPARC, PA-RISC, and DEC Alpha, while x86 evolved internally toward RISC-like micro-operations. In parallel, Verilog, FPGA prototyping, and fabless design transformed the semiconductor industry into an IP-driven ecosystem separating design from manufacturing.

Arm Holdings extended this model through a licensing-based approach that enabled companies such as Apple, Qualcomm, NVIDIA, Samsung, Huawei, and MediaTek to develop custom SoCs. Its expansion from mobile to servers strengthened ecosystem scale but increased fragmentation and software dependency.

RISC-V introduces an open, royalty-free ISA governed by RISC-V International. Its modular design supports extensions for embedded systems, vector processing, and high-performance computing, with standardization efforts such as RVA23 marking ecosystem maturity.

However, the global ecosystem is uneven. The United States leads in IP innovation (e.g., SiFive) but lacks large-scale productization, while Europe remains research-focused with limited industrial scaling and manufacturing capacity.

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