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SUMMARY:Johan Barthélemy (University of Wollongong\, NVIDIA)
DESCRIPTION:Title : Accelerating Simulations with NVIDIA Modulus \nAbstract : High-fidelity simulations in science and engineering are computationally expensive and time-prohibitive for quick iterative use cases\, from design analysis to optimization. \nNVIDIA Modulus\, the open source physics machine learning platform\, turbocharges such use cases by building physics-based deep learning models that are order of magnitudes. faster than traditional methods and offer high-fidelity simulation results.  Once trained\, the model can perform quick forward passes\, making it ideal for applications that demand fast responses\, such as real-time simulations of large complex systems. \nModulus is a offers a suite Physics-ML model architectures\, including Fourier neural operators. It provides an end-to-end pipeline for training models\, from geometry ingestion to training and inference\, with explicit parameter specifications for a wide range of applications.  The framework is also integrated with NVIDIA Omniverse for enhanced visualization and is tailored for high-performance\, leveraging technologies for multi-GPU computing and multinode scaling. \nThis seminar will present the key features\, use cases\, and performance aspects of NVIDIA Modulus\, providing attendees with a understanding of its capabilities and applications. \nThe seminar will take place in Room S07 at the Faculty of Sciences.
URL:https://www.naxys.be/event/johan-barthelemy-university-of-wollongong-nvidia/
CATEGORIES:NAXYS Seminar
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