In the rapidly evolving field of digital design, especially for complex systems-on-chip (SoCs), debugging RTL (Register Transfer Level) code has become one of the most critical and time-consuming tasks for engineers. As designs grow in size and complexity, traditional debugging techniques such as waveform analysis and manual inspection often fall short in terms of speed and accuracy. This is where AI-driven RTL debugging comes into play, offering solutions for faster bug localization and automatic correction, ultimately improving productivity and design quality.

错误:搜索内容不能为空,请输入英文关键词
错误:关键词超出字数限制,请精简
高级检索

AI-Driven Methods for RTL Debugging: Localization and Auto-Corrections of RTL Bugs “Towards Smart Debugging”

  • Khaled Mohammed

摘要

In the rapidly evolving field of digital design, especially for complex systems-on-chip (SoCs), debugging RTL (Register Transfer Level) code has become one of the most critical and time-consuming tasks for engineers. As designs grow in size and complexity, traditional debugging techniques such as waveform analysis and manual inspection often fall short in terms of speed and accuracy. This is where AI-driven RTL debugging comes into play, offering solutions for faster bug localization and automatic correction, ultimately improving productivity and design quality.