Mamta Bansal, Arm & Hao Ji, Cadence | theCUBE + NYSE Wired: GSA Series
Show Notes
In this episode of theCUBE + NYSE Wired GSA Series, host John Furrier interviews Mamta Bansal from Arm and Hao Ji from Cadence about advancements in silicon design, emphasizing the themes of "Designing to Silicon: Faster, Better, Cheaper." Bansal highlights the shift towards AI-driven workflows that enhance design processes across multiple markets, including edge devices, data centers, and automotive applications. The conversation also touches upon the impact of AI on EDA (Electronic Design Automation) practices, including the integration of predictive automation in chip verification processes. Ji discusses Cadence's innovations in automating chip verification and the challenges posed by multi-die systems, stressing the significance of early risk assessment in the development cycle. The episode concludes with insights on career opportunities in semiconductor engineering and how interdisciplinary approaches are shaping the future of the industry.
Key Topics Covered:- The evolving landscape of silicon design and automation.
- AI's role in enhancing workflow efficiencies in chip design.
- Market-specific design priorities: edge devices, data centers, automotive.
- Advancements in Cadence’s Integrity 3D-IC platform for multi-die verification.
- The importance of early risk management in the design process.
- Impacts of Arm’s v9 architecture on low-power, high-performance applications.
- Opportunities for engineers at the intersection of hardware, software, and AI.
- Future trends in standards and interoperability within the semiconductor ecosystem.