AI Engineer - Learn how to integrate AI into software applications
Learn AI, Data Science & Business — Earn Certificates That Get You Hired
Overview
AI, Data Science & Cloud Certificates from Google, IBM & Meta — 40% Off
One plan covers every Professional Certificate on Coursera. 40% off Coursera Plus Annual.
Unlock All Certificates
Explore cutting-edge time integration methods for climate and weather simulations in this 51-minute NHR PerfLab seminar. Delve into the challenges posed by evolving computer architectures and learn about innovative approaches to improve simulation efficiency. Discover techniques like Exponential Integration, Rational Approximation of Exponential Integration (REXI), Parallel Full Approximation Scheme in Space and Time (PFASST), and Semi-Lagrangian methods combined with Parareal and MultiGrid Reduction In Time (MGRIT). Gain insights from Univ.-Prof. Dr. Martin Schreiber, an expert in high-performance computing and applied mathematics, as he presents promising solutions to enhance the ratio of wall clock time vs. error in dynamical cores. Understand the potential impact of these methods on operational weather and climate systems, and explore the intersection of HPC and applied mathematics in solving partial differential equations.
Syllabus
Breaking through the barrier of time integration for climate and weather simulations
Taught by
NHR@FAU