Accellera Systems Initiative is an independent, not-for profit organization dedicated to create, support, promote, and advance system-level design, modeling, and verification standards for use by the worldwide electronics industry. We are composed of a broad range of members that fully support the work of our technical committee to develop technology standards that are balanced, open, and benefit the worldwide electronics industry. Leading companies and semiconductor manufacturers around the world are using our electronic design automation (EDA) and intellectual property (IP) standards in a wide range of projects in numerous application areas to develop consumer, mobile, wireless, automotive, and other “smart” electronic devices. Through an ongoing partnership with the IEEE, standards and technical implementations developed by Accellera Systems Initiative are contributed to the IEEE for formal standardization and ongoing governance.
Erik Berg, Principal SoC Verification Engineer, Microsoft; Daniel Schostak, Verification Architect & Fellow, ARM; Mark Ren, Director of Design and Automation Research, NVIDIA; Dan Yu, AI/ML Solutions Manager, Siemens EDA
Goldman Sachs estimates that up to 25% of jobs in the US and a staggering 300 million jobs globally will be affected by generative AI. As contributors to the semiconductor industry, we find ourselves both accelerating and being impacted by this transformative trend. While AI and machine learning have already made strides in verification, the advent of Generative AI, particularly Large Language Models (LLMs), introduces fresh possibilities for enhancing verification productivity through acceleration, automation, and heightened accuracy. However, the critical question remains – can these promises materialize?
Many verification teams have either integrated LLMs into their daily workflows or are in the planning stages to do so. Simultaneously, concerns linger around data privacy, potential job displacement, and role changes. This panel invites participants to share and discuss their perspectives, experiences, insights, and apprehensions regarding the role of generative AI in verification. By doing so, the panel aims to offer the audience a glimpse into the future of verification, driven by LLMs, which is rapidly approaching.
Moderator: Harry Foster, Chief Scientist Verification, Siemens EDA