35th Congress of the International Council of the Aeronautical Sciences

03.1 - Aerodynamics – CFD Methods and Validation

THE ROLE OF NEXT-GENERATION HPC AND MACHINE LEARNING IN ACHIEVING THE 2030 VISION GOALS

N.J. Wyman, Cadence Design Systems, Inc., United States; N. Ashton, NVIDIA, United States

As the aerospace community pushes toward Vision 2030, the intersection of exascale High-Performance Computing (HPC) and machine learning is emerging as a critical catalyst for success. The talk will highlight recent progress in leveraging advanced HPC architectures to accelerate high-fidelity aerodynamic analyses. Integration of AI/ML into workflows can unlock new approaches to complex challenges.


View Paper