LFOSSA Open Class | New Trends in Processor Chip Development: Open Source Chips LFOSSA源来如此公开课 | 处理器芯片发展新趋势：开源芯片

In recent years, the field of processor chips is undergoing a revolutionary change. The core of this change is RISC-V (Reduced Instruction Set Computer-V), a new instruction set architecture.

RISC-V is an open source, free-to-use instruction set architecture that aims to provide flexible and highly customizable processor designs for different application scenarios. Compared with traditional proprietary instruction set architectures, the charm of RISC-V lies in its openness and freedom, which allows anyone to use, modify and customize the architecture to build their own processor chip. This open source thinking not only drives innovation, but also advances the processor industry.

In order to let more people understand and participate in this exciting development, we invited Dr. Yu Zihao, a Ph.D. from the Institute of Computing Technology, Chinese Academy of Sciences, to give us a wonderful sharing on the theme of “New Trends in Processor Chip Development: Open Source Chips”.

RISC-V applications are growing rapidly around the world, with shipments exceeding 10 billion units. This report will cover the following:

• The latest developments in RISC-V and open source chips
• Processor chip development model
• China’s power in RISC-V International Foundation
• The development of RISC-V software and hardware ecosystem
• The practical results of the team from the Institute of Computing Technology, Chinese Academy of Sciences in the direction of open source chips

近年来，处理器芯片领域正在经历着一场革命性的变革。而这个变革的核心就是RISC-V（Reduced Instruction Set Computer – V），一种全新的指令集架构。

RISC-V 是一个开源、免费使用的指令集架构，其目标是为不同应用场景提供灵活和高度可定制的处理器设计。相较于传统的专有指令集架构，RISC-V 的魅力在于其开放性和自由度，使得任何人都可以使用、修改和定制该架构，构建属于自己的处理器芯片。这一开源思想不仅推动了创新，而且还促进了处理器行业的发展。

为了让更多人了解并参与这个激动人心的发展，我们邀请到了中国科学院计算技术研究所博士余子濠博士为我们带来主题为 “处理器芯片发展新趋势：开源芯片” 的精彩分享。

RISC-V应用正在全球快速增长，出货量已超过100亿颗。本报告将介绍以下內容：

• RISC-V和开源芯片的最新发展动态
• 处理器芯片发展的模式
• 中国在RISC-V国际基金会中的力量
• RISC-V软硬件生态的发展情况
• 中国科学院计算技术研究所团队在开源芯片方向的实践成果