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English(EN) LACE: Large Language Model Aided Multi-Agent Framework for Agile RISC-V Instruction Extension

LLM框架LACE加速RISC-V指令扩展开发

作者 PulseAugur 编辑部 · [1 个来源] ·

研究人员开发了LACE，一个利用大型语言模型（LLMs）来简化RISC-V内核领域特定指令集架构扩展（ISAX）的创建和验证的新型框架。该多智能体系统将自然语言意图转换为两级中间表示，对大型代码库执行本地化RTL编辑，并与编译器无关的形式化检查流程集成。在对四个嵌入式RISC-V内核的评估中，LACE将pass@1的生成准确率显著提高到72.8%，增强了代码本地化能力并减少了集成工作。 AI

影响 通过使用LLM进行指令集扩展来简化硬件设计，可能加速RISC-V的采用。

排序理由 该集群包含一篇详细介绍硬件架构开发新框架的研究论文。[lever_c_demoted from research: ic=1 ai=0.7]

在 arXiv cs.CL 阅读 →

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LLM框架LACE加速RISC-V指令扩展开发

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该集群包含一篇详细介绍硬件架构开发新框架的研究论文。[lever_c_demoted from research: ic=1 ai=0.7]
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报道来源 [1]

  1. arXiv cs.CL TIER_1 English(EN) · Pingqing Zheng, Jiayin Qin, Fuqi Zhang, Zishen Wan, Shang Wu, Yu Cao, Caiwen Ding, Yang Katie Zhao ·

    LACE：大型语言模型辅助的敏捷RISC-V指令扩展多智能体框架

    arXiv:2608.02915v1 Announce Type: cross Abstract: Domain-specific Instruction Set Architecture eXtensions (ISAX) are widely adopted in the RISC-V ecosystem to accelerate emerging workloads, but implementing and validating ISAXes across different cores remains slow and fragmented.…

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