The European Centre of Excellence for Engineering Applications (EXCELLERAT) is organizing a webinar titled Accelerate Time-to-Science Using the NVIDIA Platform, scheduled for 14 November 2024. This webinar will provide an in-depth overview of NVIDIA's contributions to scientific computing and will consist of two interconnected presentations: Leveraging AI in Computational Physics with NVIDIA Modulus and TorchFort and Accelerate Time-to-Science Using the NVIDIA Platform.
The first presentation will showcase how researchers leverage NVIDIA's open-source libraries, such as Modulus, to seamlessly integrate learning methods with scientific solvers. It will focus on recent results that facilitate AI in-the-loop approaches and enable on-the-fly training and inference during computation using the open-source TorchFort library. It will showcase a blueprint that new users can follow to replicate this in their codes today, unlocking new areas of research without compromising the speed of their high-performance solvers.
The second will introduce the NVIDIA Grace CPU Superchip and NVIDIA GH200 Superchip platforms and a presentation of how advancements in hardware coupled with NVIDIA’s vision on programming models for accelerated computing can have profound implications in developing next-generation fast (time to solution) and efficient (energy to solution) HPC codes. The conclusion of the talk will provide a glimpse into the future of computing in 2025-2026, powered by Blackwell and Grace.
