These demos offers a behind-the-scenes look at how Synopsys is enabling agentic AI for silicon design. Synopsys AgentEngineer™ domain-aware AI agents automate EDA workflows to bring about true multi-agent design execution.

Attendees will discover how agentic workflows orchestrate complex chip design tasks, scale across high-performance environments, and keep engineers in control—accelerating productivity, managing growing design complexity, and redefining how silicon is built in the AI era.

Synopsys QuantumATK takes full advantage of multi-GPU scaling and tensor cores to accelerate a wide variety of atomistic materials and device simulations. In this presentation we will showcase 1000x speedup of electronic structure calculations using machine-learned DFT, an industry first from Synopsys. This ground-breaking technique can also be used to scale property predictions to massive structures (100,000+ atoms). Further benchmarks will showcase machine-learned interatomic potentials (MLIPs) such as MACE running 250-500x faster on GPUs compared to CPUs, and we will also demonstrate how such simulations can be scaled to much larger structures (100,000+ atoms) than previously possible through multi-GPU support.

Compute resource and cost to successfully print circuitry increases with each successive node pushing the utilization over 100,000 CPU cores for multiple days to process one lithographic layer.  Industry leaders are seeking solutions to minimize the mask synthesis processing computation time, lower energy expenditures, and optimize datacenter space.   This GTC presentation will share two solutions from Synopsys’s Proteus application:  1) a reinforcement learning engine for optimizing the calculation code (7X speedup) and 2) a GPU-based computational solution with Nvidia’s cuLitho library (20X+ speedup). 

Srinivasa Mohan, Distinguished Engineer and Scientist at Synopsys, together with Analog Devices (ADI), will co-present Reducing the Sim2Real Gap for Industrial Robotics. This session highlights the Synopsys–ADI collaboration to enhance the fidelity of simulation environments, advancing dexterity and real-world performance in industrial robotic systems.

Location: SJCC Grand Ballroom Theater (L2)

Akira Fujii, Principal Application Engineer, Ansys Japan K.K.​ will present along with Tokyo University of Technology and NVIDIA in the virtual session  Interactive CFD at the Cutting Edge: Experiencing Digital Twins and Urban Simulation with Omniverse.

Location: Virtual

Shankar Krishnamoorthy, Chief Product Development Officer, Synopsys joins Samsung for a discussion on Shaping the Future of Semiconductor Manufacturing With AI. This session will  explore how AI and digital twins are reshaping semiconductor manufacturing—from electronic design automation (EDA) and computational lithography to the design and operation of advanced fabrication plants.

Location: SJCC 211AC (L2)

Mark Palmer, Field CTO and Lead Chief Technologist, Healthcare , Synopsys​ joins Medtronic to discuss how simulation is transforming healthcare innovations in the session  How Simulation and AI are Giving Life to Digital Twins for Patient Care.

Location: SJCC LL21AB (LL)