Digital Event

October 24 - 25, 2022

Application Deadline: October 5, 2022

Deep Learning (DL) has revolutionized the way of performing classification, pattern recognition, and regression tasks in various application areas. Scientific applications solving linear and non-linear equations with demanding accuracy and computational performance requirements can use a class of DL networks, called Physics-Informed Neural Networks (PINN). In fact, PINNs are specifically designed to integrate scientific computing equations, such as Ordinary Differential Equations (ODE), Partial Differential Equations (PDE), non-linear and integral-differential equations into the DL network training. This workshop introduce Scientific Machine Learning (SciML) with PINN and hands-on experience with a PDE solver NVIDIA Modulus, a neural network framework that blends the power of physics in the form of governing partial differential equations (PDEs) with data to build high-fidelity, parameterized surrogate models with near-real-time latency. This online Bootcamp is a hands-on learning experience where you will be guided through step-by-step instructions with teaching assistants on hand to help throughout.

The Bootcamp is co-organized by HLRS, LRZ, OpenACC.org and NVIDIA for EuroCC@GCS, the German National Competence Centre for High-Performance Computing.

Event Format

This 2-day Bootcamp will be hosted online in the Central European Summer Time (CEST) zone. All communication will be done through Zoom, Slack and email.


  • Basic experience with Python. No GPU programming experience is required.

GPU Compute Resources

Persons attending the event will be given access to the GPU cluster for the duration of the Bootcamp.


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