Accelerating RTL-to-GDS digital implementation with generative and agentic AI: powered by Aprisa AI & the Siemens EDA AI System
As digital chip design complexity grows, engineering teams face increasing pressure to meet aggressive PPA targets on tight schedules. To overcome this challenge, the EDA industry requires a revolutionary shift towards AI. Siemens EDA is leading this transformation by implementing a comprehensive strategy that combines machine learning, reinforcement learning, generative, and agentic AI across the entire EDA workflow. This session showcases how Siemens is realizing this vision in the RTL-to-GDS space with the newly launched Aprisa AI: a fully integrated, AI-powered solution working in concert with the Siemens EDA AI System.
Aprisa AI delivers a 10x boost in engineering productivity, a 3x compute-time efficiency improvement, and 10% better PPA results compared to conventional workflows. Aprisa AI intelligently optimizes digital implementation flows to provide the best PPA for any given design. It also includes a generative and agentic AI assistant capable of answering questions about documentation and designs, launching commands, and running tools within Aprisa. This assistant is powered by the Siemens EDA AI System—an open, customizable, and secure platform that extends agentic AI capabilities across the entire EDA workflow. The system is designed to increase overall chip designer productivity through agentic automation, smart design queries, accelerated learning, and unlocking valuable insights from a centralized multimodal EDA data lake.
What you will learn:
- Powerful AI/ ML digital implementation features like Aprisa’s design explorer for rapid and intelligent exploration of the design space
- The role of machine learning, reinforcement learning, generative AI, and AI agents, in automating and scaling RTL-to-GDS methodologies
- How the Siemens EDA AI system helps accelerate learning, performing EDA workflows, and more
Topics include:
- An Introduction to Aprisa AI and the Siemens EDA AI System.
- Overview of different features and workflows of Aprisa AI
- Insightful demonstrations of Aprisa AI and Siemens EDA AI system
- Summary & Q&A
Products Featured:
- Aprisa AI
- Siemens EDA AI System
Seznamte se s přednášejícími
Janet Attar
Principal Product Manager
Janet Attar is Principal Product Manager at Siemens EDA for the Aprisa RTL-to-GDS digital implementation solution, including responsibility for Aprisa AI planning and development. Prior to Siemens, she was a Staff Applications Engineer at Cadence, where she worked with customers to develop silicon chips for consumer electronics, and a Senior Physical Design Engineer for International Rectifier (now Infineon), where she worked on digital controllers. Janet holds a B.Eng in Electrical Engineering from Carleton University.
Niranjan Sitapure
Central AI Product Manager
Niranjan Sitapure, PhD, is the Central AI Product Manager at Siemens EDA. He oversees road mapping, development, strategic AI initiatives, and product marketing for the Siemens EDA AI portfolio. With a PhD in Engineering from Texas A&M University, Niranjan has honed his expertise in advanced AI/ML technologies, including time-series transformers, LLMs, and digital twins for engineering applications. Previously, Niranjan was a consultant at Bain & Company, where he advised Fortune 500 clients on digitization strategies, operating model redesigns, and due diligence.