NHR4CES Events
NHR4CES (National High Performance Computing Center for Computational Engineering Science) is part of the association for National High Performance Computing (NHR). NHR aims to provide scientists at German universities with the computing capacity they need for their research, and strengthen their skills for the efficient use of this resource.
In almost every scientific field, the use of high performance computing is now indispensable. With the association for NHR, high performance computing at universities in Germany, which has so far been organized at the state level, is being restructured in the scientific community. The association for NHR consists of several NHR centers that operate the high-performance computers.
In NHR4CES, RWTH Aachen University and TU Darmstadt join forces to combine their strengths in HPC applications, algorithms and methods, and the efficient use of HPC hardware. Our goal is to create an ecosystem combining best practices of HPC and research data management to address questions that are of central importance for technical developments in economy and society. We support the development of scalable algorithms and software for the investigation, development, design, construction, evaluation, and production of engineering applications with a particular focus on engineering and materials science as well as engineering-oriented physics, chemistry and medicine.
Events you should keep an eye on
NHR4CES – Numerical Methods for Combustion
Thursday, 21. November ► 14:00NHR4CES – Process Mining and HPC clusters
Monday, 9. December ► 9:00
Past Events
NHR4CES Teamevent
Wednesday, 8. September 2021 ► 8:00 - 13:00NHR4CES Community Workshop 2023
Tuesday, 28. February 2023 ► 13:30 - Wednesday, 1. March 2023 ► 13:30NHR4CES: CFD Training Series: Efficient HPC implementation for Lagrangian particle tracking
Thursday, 26. October 2023 ► 13:00 - 17:00NHR4CES: Parallelization in OpenFOAM for HPC Deployment
Monday, 6. November 2023 ► 10:00 - 16:00NHR4CES: Introduction to Machine Learning and Deep Learning
Thursday, 9. November 2023 ► 9:00 - Friday, 10. November 2023 ► 13:00