➀ Siemens and Perforce discussed their collaboration on integrating IP lifecycle management (IPLM) with semiconductor tools, emphasizing software-defined products and system-level verification;

➁ The digital twin approach and metadata interoperability across EDA tools enable traceability from requirements to verification, critical for automotive and safety-critical systems;

➂ AI-powered tools and data lakes are leveraged to optimize verification efficiency and manage design decisions across hardware-software co-development.

➀ Siemens and Perforce integrate digital twins with version control to streamline semiconductor design workflows;

➁ The partnership establishes traceable digital threads across chip design lifecycle using Siemens' virtual simulation and Perforce's data management;

➂ This collaboration addresses complex challenges in AI-driven chip architectures while targeting $1 trillion semiconductor market growth by 2030.

➀ Perforce will host a webinar on September 10 to discuss the risks and trustworthiness of using GenAI in chip design, featuring expert Vishal Moondhra;

➁ Key concerns include data liability, lack of training traceability, high error costs, and data quality issues in mixing external/internal IP;

➂ The webinar will explore solutions for managing AI model provenance and implementing traceable design workflows using Perforce IPLM tools.