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Veena Parthan
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Nvidia GTC Conference
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Cadence Shares What’s Next with High-Fidelity Simulations at NVIDIA GTC Developer Conference

13 Mar 2023 • 1 minute read

Explore breakthroughs in AI, accelerated computing, and beyond at the Nvidia GTC Developer Conference – The Conference for the Era of AI and Metaverse. We will present two compelling topics at the conference: Optimizing Formula One with Fidelity and Machine-Learned Sensitivity High-Fidelity Simulation Databases.


Optimizing Formula One with Fidelity

Analyzing and optimizing complex automotive designs demand high-fidelity simulations. Tomorrow’s fastest and most efficient race car designs will require the convergence of intelligence, automation, and scale, resulting in outcomes previously unattainable with legacy design environments. Since Formula One (F1) rules limit the number of computational fluid dynamics (CFD) compute cycles F1 teams can apply to race car design, the computational throughput of today’s CFD solutions quickly becomes the difference between taking the checkered flag and off-podium finish. Join Ben Gu in this talk about how Cadence is shaking up CFD for automotive design with GPU-accelerated CFD design flows.

Speaker: Ben Gu, VP, Multiphysics Systems Analysis R&D, Cadence

Date and Time: Tuesday, March 21st, 10:00 am to 10:25 am PDT


Machine-Learned Sensitivity Extraction from Synthetic High-Fidelity Simulation Databases

Physics-based simulations are routinely used to help optimize designs and understand sensitivities for input design variables. Despite significant increases in simulation throughput made possible in part by GPU acceleration, brute-force search for optimal designs using ensembles of detailed calculations can still be untenable due to prohibitive computational costs. Alternatively, adjoint-based simulation approaches or simple response surfaces are utilized to extract necessary sensitivity information in a more computationally efficient manner, but both are challenged when the design objectives are highly nonlinear or potentially discontinuous. Using a machine-learned model, we will extract design sensitivity information from a limited subset of high-fidelity flow simulations.

Speakers: Sanjeeb Bose, Chief Technology Officer, and Frank Ham, President and CEO of Cascade Technologies, Inc.

Date and Time: Thursday, March 23rd, 12:00 PM to 12:25 PM PDT


Explore breakthroughs in AI, Accelerated Computing, and Beyond at the Nvidia GTC Developer Conference, March 20-23.



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