High Performance Computing

Omar Knio

Professor, Applied Mathematics and Computational Sciences

uncertainty quantification bayesian inference computational fluids mechanics combustion High Performance Computing

Professor Knio focuses on developing state-of-the-art methods and algorithms for simulating complex multiscale systems, and their implementation to the analysis and optimization of renewable energy systems.

KAUST-CEMSE-Matteo-Parsani

Matteo Parsani

Associate Professor, Applied Mathematics and Computational Sciences

Structure-Preserving Algorithms fluid dynamics High Performance Computing Numerical Optimization aeroacoustics

Professor Parsani develops robust, variable order and self-adaptive algorithms for solving fluid flow problems in complex geometries. The application domains currently driving Parsani's research are compressible computational aerodynamics, computational aeroacoustics for noise reduction in vehicles and molecular communication.

Lisandro Dalcin

Research Scientist, Hierarchical Computations on Manycore Architectures

petsc High Performance Computing fluid dynamics

Lisandro Dalcin obtained a degree in Electromechanical Engineering from National Technological University, Concepción del Uruguay, Argentina in 2001 and a PhD degree in Engineering Sciences, Computational Mechanics from National University of the Littoral, Santa Fe, Argentina in 2008. Research Interest Lisandro Dalcin's research interest include Parallel and High Performance Computing, Scientific Software Development, Finite Element Methods and Computational Fluid Dynamics. Education Profile PhD in Engineering Sciences, Computational Mechanics, National University of the Littoral, Santa

Hatem Ltaief

Principal Research Scientist, Computer, Electrical and Mathematical Sciences and Engineering

High Performance Computing parallel numerical algorithms Performance optimization

Dr. Hatem Ltaief is a Principal Research Scientist at KAUST. He works on mixed-precision algorithms and performance optimizations to help HPC scientific applications address the exascale challenges. His innovations have been recognized with the ACM Gordon Bell Prize (shared) for Climate Modeling in 2024.

David Keyes

Senior Associate to the President, King Abdullah University of Science and Technology

parellel computing numerical analysis computational science and engineering Partial Differential Equations spatial statistics machine learning quantum computing High Performance Computing scalable solvers software development

David Keyes works at the interface of computational science and engineering and high performance computing, which he helped edit into the DNA of KAUST as a founding Dean in 2009 and then as director of the Extreme Computing Research Center. He currently serves as Senior Associate to the President, Chair of the KAUST RDIA Economies of the Future committee, and delegate to the Saudi Center for the Fourth Industrial Revolution.