Performance Engineering for Numerical Methods in Computational Fluid Dynamics
After last year’s NHR4CES Community Workshop provided Machine learning in Computational Fluid Dynamics this year’s topic was Performance Engineering for Numerical Methods in Computational Fluid Dynamics (CFD). The workshop was organized by CSG Parallelism and Performance together with SDL Energy Conversion and SDL Fluids. 97 people attended the workshop which took place online on June 13 and 14, 2024.
Below you find all presentations from the NHR4CES Community Workshop with the corresponding link.
Dr. Marta Garcia Gasulla held the talk: Lessons learned from a performance analysis of an OpenFOAM HPC Grand Challenge
Gustavo de Morais and Alexander Geiß held the talk: Performance Modeling for CFD Applications
Paul Wilhelm and Fabian Orland held the talk: Assessing the performance of solvers for kinetic plasma dynamics in a six-dimensional phase-space
Prof. Ricardo Vinuesa held the talk: Explaining and controlling turbulent flows through deep learning
Dr. Joachim Jenke held the talk: Performance and Correctness Analysis of an Exascale Application
Dr. Temistocle Grenga held the talk: Efficient use of computational resources: The Wavelet Adaptive Multi-resolution Method
Dr. Daniel Mira held the talk: Porting CPU-based/optimized combustion codes to CPU-GPU heterogeneous architectures
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