The remarkable parallel processing power and high memory bandwidth of modern GPUs have revolutionized computational science, making them the architecture of choice for a wide range of demanding applications—from training deep learning models to conducting large-scale simulations in physics and biology. Researchers and engineers across academia and industry are leveraging GPUs to achieve significant performance gains in both production and research environments. This talk will provide an overview of GPU programming models, illustrated with real-world examples from Computational Fluid Dynamics, highlighting how GPUs are accelerating scientific discovery and innovation.
17 Aprile 2025
Il seminario avrà luogo in Aula 17 alle ore 12:00