NHR4CES is a national high performance computing center focused on computational engineering science, providing computing time and support services for research in various scientific fields.

NHR4CES

Paderborn Center for Parallel Computing (PC2) is a central scientific institute of Paderborn University focused on advancing interdisciplinary research in parallel computing and computational sciences. PC2 provides HPC infrastructure and services for academic users.

Paderborn Center for Parallel Computing (PC2)

NHR4CES | 670 followers on LinkedIn. National High Performance Computing Center for Computational Engineering Sciences | 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 NHR4CES, RWTH Aachen University and Technical University Darmstadt join forces to combine their strengths in HPC applications, algorithms and methods, and the efficient use of HPC hardware.

Christian Bischof

Group Leader SDL Materials Design NHR4CES | Computational Material Scientist | Modeling and Simulation of Materials | Density Functional Theory |…

Ganesh Kumar Nayak, Ph.D.

We're thrilled to announce the 2024 online training "Numerical Methods for Combustion", organized by our SDL Energy Conversion. 🚀 🗓️ Date: November 21, 2024 🕒 Time: 2.00 pm - 6.00 pm (CEST) 📍 Format: Online, free As the global urgency to transition toward carbon-neutral energy systems grows, so does the need to deeply understand and optimize combustion processes that can support this transition. This workshop is designed for researchers and practitioners interested in advanced numerical methods for simulating combustion processes in high-performance computing environments. Attendees will have the opportunity gain insights into the latest advancements, covering topics such as: 🔹 Direct Numerical Simulation 🔹 Acceleration of reactive flows using GPUs 🔹 Combustion closure modeling using Machine Learning 🔹 Soot modeling 💻 Ready to level up your skills? More information about the agenda and registration: https://lnkd.in/eXBBF4H3 #NHR #NHR4CES #HPC #EnergyConversion #NumericalMethods

🚀 Wir freuen uns, Ihnen den neuen Hochleistungsrechner #CLAIX -2023 vorzustellen, ein beeindruckendes Symbol für Innovation und Nachhaltigkeit an der RWTH Aachen University ! 🌱 CLAIX-2023 ist speziell auf datenintensive Anwendungen wie #KI , #Simulation und #Maschinelles Lernen ausgelegt. 💻 Dank der effizienten Wasserkühlung reduziert er den Energieverbrauch im Vergleich zu herkömmlichen Lösungen erheblich – eine Revolution im Hochleistungsrechnen.💧 Der CLAIX-2023 wird von unseren Partnern NHR4CES und KI-Servicezentrum WestAI unterstützt und bringt Forschende deutschlandweit zusammen. 🚀 Mehr zu diesem Meilenstein erfahren Sie in unserem Blog! 🔗 https://lnkd.in/eTgRzCsm

IT Center RWTH Aachen

Art meets High-Performance Computing: The RWTH Aachen University ’s IT Center revealed CLAIX-2023 – its latest high-performance computer! With the reveal of CLAIX-2023, the IT Center RWTH Aachen Center is also presenting an extraordinary fusion of art and technology. Take a look at how CLAIX-2023 became a work of art: https://lnkd.in/eDK4PC4W And read more about the artist Artur Krutov 's thoughts: https://lnkd.in/eqUWEemM #NHR4CES #CLAIX2023 #CLAIXperience #HPC #Design Schöpfer GmbH & Co. KG

📣 Join us for our free online course on Finite Element Methods for Flow Problems within NHR4CES ! This course covers various techniques for solving fluid flow problems using the finite element method, addressing numerical instabilities and reviewing relevant stabilization techniques. The course will include presentations and hands-on programming exercises, with methods discussed and implemented within a basic finite element solver using Python. It will take place online on next Tuesday (October 29) from 13:00 to 17:00, and will be taught by Dr. Felipe A. González (finite element theory) and Tobias Bongartz (hands-on Python exercises). Don't miss this opportunity to improve your knowledge and skills. 🫵 🌟 Register now at this link: https://lnkd.in/eeA8kRzR

Chair for Computational Analysis of Technical Systems at RWTH Aachen University

🚀 Official Inauguration of CLAIX-2023 at RWTH Aachen 🚀 On Wednesday, RWTH Aachen’s IT Center proudly inaugurated the new high-performance computer CLAIX-2023! Equipped with cutting-edge, energy-efficient water-cooling technology, this system reduces power consumption compared to traditional air-conditioning methods. CLAIX-2023 will be available to researchers at RWTH Aachen University and, through NHR4CES, at universities across Germany, supporting groundbreaking projects in various scientific disciplines. Learn more about our high-performance computer: https://lnkd.in/eYcEU-FN

#HPCnews #CLAIXperience on a new level 3...2...1... GO! 🚀 Our High Performance Computer CLAIX-2023 is being inaugurated in style. With impressive computing power for AI applications and simulations, it also impresses with a 3D design – artfully designed by Artur Krutov . 🎨💻 A significant step forward for the future! 🔬 #HPCnews #CLAIXperience on a new level 3...2...1... GO! 🚀 Unser Hochleistungsrechner CLAIX-2023 wird gebührend eingeweiht. Mit beeindruckender Rechenleistung für KI-Anwendungen & Simulationen, begeistert er auch mit einem 3D-Design – kunstvoll gestaltet von Artur Krutov. 🎨💻 Ein bedeutender Fortschritt für die Zukunft! 🔬 NEC Corporation NHR4CES NVIDIA

Next week, the latest round of the NHR4CES CFD training series will take place - organized by our SDL Fluids! Martin Smuda will kick things off with an Introduction to Discontinuous Galerkin Methods for Flow Problems on Tuesday, October 22, 2024. This hands-on course will cover the main building blocks for solving fluid flow problems using the Discontinuous Galerkin (DG) method. Participants will engage in both presentations and practical exercises, implementing a simple DG flow solver and testing it within the open-source framework BoSSS. Key Details: • Language: English • Format: Online • Prerequisites: BoSSS and JupyterLab installed and working Don't miss this chance to deepen your knowledge of fluid dynamics modeling! Registration: https://lnkd.in/e69XFn2S #NHR4CES #NHR #HPC #CFD #FluidDynamics #OpenSource #Engineering #Simulation

🌍 Exploring the Glaciers of Greenland – Advancing Polar Research with High-Performance Computing and On-Site Expeditions ❄️ In an exciting expedition titled "Polarmonitor 2024," Professor Angelika Humbert and her team from the Alfred Wegener Institute (AWI) are diving deep into Greenland’s glaciers to better understand the flow and fracture behavior of glaciers. Collaborating with experts from TU Darmstadt and NHR4CES, they’re combining on-site measurements with powerful simulations to unlock new insights. With high-performance computing at TU Darmstadt’s Lichtenberg II and tools like ISSM, they’re developing advanced models to simulate glacier dynamics. Their work is supported by technologies like radar, laser measurements, and high-res imagery from the research aircraft “Polar6”, a historic DC-3 that continues to serve science decades after its conversion. You can find more information about this project on our website: https://lnkd.in/eVReBhEQ #NHR4CES #NHR #HPC Christian Bischof

We're thrilled to announce the 2024 online training "Machine Learning for Materials Science", organized by our SDL Materials Design. 🚀 🗓️ Date: October 21 - 23, 2024 🕒 Time: 9.00 am - 1.00 pm (CEST) 📍 Format: Online, free Data science and machine learning are revolutionizing the world of materials science, leading us into what many call the "Fourth Paradigm" of research. In this hands-on training, you’ll dive into the intersection of machine learning and materials science, tackling essential topics such as: 🔹 ML-assisted image segmentation 🔹 ML interatomic potentials 🔹 Microstructure-property correlation analysis 🔹 Data-driven multiscale modeling You'll learn from experts, work with Python packages, and tackle an exciting project using datasets. By the end, you'll be ready to apply machine learning techniques to your materials science research or industry projects. 💻 Ready to level up your skills? More information about the agenda and registration: https://lnkd.in/ehVe6NPv #NHR #NHR4CES #MachineLearning #MaterialsScience #DataScience #Python Aditi Mohadarkar

⭐ Special Thanks ⭐ The second NHR Conference was a great success and we would like to thank NHR4CES@TUDa for their kind support in the preparation and realization of the event. NHR4CES@TUDa | Hochschulrechenzentrum TU Darmstadt (HRZ): Felix Wolf, Thorsten Reimann , Juliane Lehmann Local Support: Aylin Müller-Cin , Christian Iwainsky , Christina Mouratidou, Jessica Dudszus, Julian Schmidt, Laurin Eisenacher , Linus Jauch, Mark Altenborg, Noel Schweiger , Rohan Duong SCIENTIFIC COMMITTEE Computational Engineering Marek Behr (RWTH Aachen) Martin Frank (Karlsruhe Institute for Technology) Sandra May (Uppsala University) Materials Science Hongbin Zhang (TU Darmstadt) Jörg Neugebauer (Max Planck Institute for Sustainable Materials GmbH) Simulation and AI Oliver Weeger (TU Darmstadt) Dominik L. Michels (TU Darmstadt) Barbara Solenthaler (ETH Zürich) REGISTRATION SUPPORT Karlsruher Institut für Technologie (KIT) - NHR@KIT: Robert Barthel and Carolin Breitzke #HPC #NHRVerein #Conference #Innovation #simulation #research #NHRConference2024 #AI #MaterialsScience #ComputationalEngineering Photo: NHR4CES Team, NHR Team at Technische Universität Darmstadt Photographer: Jürgen Aloisius Morgenroth

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Company Name	NHR4CES	Paderborn Center for Parallel Computing (PC2)
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MSH ID	DE:NHR4CES	DE:UNI-PADERBORN:PC2
Market	PRIVATE	PRIVATE
Sector	Technology	Technology
Industry	Computing & High-Performance Computing	Research and Development
Country	DE	DE
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Website	nhr4ces.de	pc2.uni-paderborn.de
LinkedIn	nhr4ces	pc2
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NHR4

DE:NHR4CES

NHR4CES

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