EXCELLERAT

Lost in Code? Get the Map!🗺️ Navigating a massive codebase can feel like wandering an unknown city—slow, frustrating, and inefficient. But what if you had a map from the start? CERFACS’ Marauder’s Map transforms software callgraphs into powerful visual guides, helping developers see the big picture, spot dependencies, and streamline their workflow. 💡 Save time, boost collaboration, and cut through complexity—because reading code shouldn’t feel like a treasure hunt. 🔗 Learn more: https://lnkd.in/e6RJqdPp 🔗Interested in a trial? https://lnkd.in/eBvHA_QP #SoftwareEngineering #CodingMaps #DevTools #HPC

New EXCELLERAT P2 success story 🏆 High-fidelity simulation of turbulent flows with high Reynolds numbers is a complex challenge. To address this, researchers at KTH Royal Institute of Technology are advancing an Adaptive Mesh Refinement (AMR) workflow in Neko, a state-of-the-art Computational Fluid Dynamics (CFD) solver. AMR dynamically refines the computational grid during runtime, optimizing resolution where it is needed most. This approach reduces computational costs while maintaining high accuracy. Key benefits: ✅ Controlled computational error at optimal cost ✅ Reduced mesh size and computational requirements ✅ Simplified meshing for complex flow simulations First results from AMR simulations using Nek5000 are expected in mid-2025, with continued developments in CPU and GPU versions into 2026. Learn more: https://lnkd.in/ebgrNtg2

Missed one of the episodes of our technical deep dives? Watch the full playlist on YouTube! https://lnkd.in/eCjnvrmZ Explore our playlist showcasing cutting-edge EXCELLERAT use cases, from hydrogen combustion for clean energy to noise reduction and advanced aircraft simulations. Discover how high-performance computing drives innovation in aerospace, energy, and beyond.

📢 The latest EXCELLERAT newsletter is out! Issue 26 explores how Adaptive Mesh Refinement with the Spectral Element Method solver Neko enables high-fidelity simulations of turbulent flows while optimising computational costs. Read our success story on this innovative approach. We also highlight key upcoming events and you can learn about our latest blog article about HiPEAC 2025, a new use case on OpenFOAM GPU simulations, upcoming training opportunities, and more.

Celebrating Women in Engineering & HPC 🌍 On International Women’s Day, EXCELLERAT recognises the contributions of women driving innovation in engineering, #HPC, and data-driven research. Their work is essential in shaping the future of sustainable and efficient engineering solutions. Despite their impact, women remain underrepresented in these fields. As a European Centre of Excellence for Engineering Applications, we are committed to fostering diversity, inclusion, and equal opportunities in HPC and engineering.💡 #IWD2025 #WomenInSTEM #Engineering #DiversityInTech

Happy #SimulationFriday! Check out this new direct numerical simulation of a starting drone rotor. High-order (7th) simulation with #Nek5000 and adaptive mesh refinement: 1 385 000 spectral elements in the grid. The video shows vortices identified using the lambda-2 criterion. It was produced by remote rendering on the NHR-FAU cluster Fritz with #Paraview 5.13. Kudos to Timofey Mukha and KTH Royal Institute of Technology! https://lnkd.in/e5RAAJV5

Join the EXCELLERAT Training: High-Order Discontinuous Spectral Methods for Massively Parallel LES!   📅 Monday, 24 March 2025 📍 CERFACS, Toulouse, France   This training is designed for students, engineers, physicists, and computer scientists looking to deepen their understanding of CFD simulations and refine their skills in high-order numerical methods. By the end of this session, participants will be able to: ✅ Understand the key differences between numerical schemes. ✅ Determine the optimal number of iterations for convergence. ✅ Select the appropriate sub-grid model. ✅ Choose the correct size for unstructured grids. ✅ Simulate academic configurations with precision.   Learn more & register: https://lnkd.in/eGe2_57s   #HPC #CFD

🎙️ New Podcast Episode: Advancing Computational Fluid Dynamics🎙️ How is High-Performance Computing (HPC) shaping the future of Computational Fluid Dynamics (CFD) in aerodynamics? 🚀 In this episode, Sophia Honisch (EXCELLERAT P2, HLRS - Höchstleistungsrechenzentrum Stuttgart) talks with Dr. Matthias Meinke, Head of the Numerical Department at the Institute of Aerodynamics, RWTH Aachen University. 🔹 The role of HPC in CFD advancements 🔹 Challenges of running simulations on Exascale platforms 🔹 Development of multiphysics simulation tools 🔹 The broader impact on engineering & aerodynamics 🎧 Listen now: 👉 Spotify: https://lnkd.in/ehYvZteh 👉 Apple Podcasts: https://lnkd.in/exii6esp

Coming soon: Meet EXCELLERAT at #EuroHPCSummit25! We’ll present a poster on HPC-driven engineering simulations & connect with the community in Kraków, March 18-20. Join us for expert talks, live HPC demos & the new Quantum Insights experience. Register now: https://lnkd.in/ebcbXBh3 EuroHPC Joint Undertaking (EuroHPC JU)

🎥 🚀 This application plays a role in advancing nuclear fusion technology by providing valuable insights into plasma behaviour, enhancing reactor design, and ensuring improved safety measures. Matic Brank, a researcher at University of Ljubljana LECAD laboratory, shares how the team leverages advanced simulations to evaluate plasma power deposition and optimise the design and safety of fusion reactors: https://lnkd.in/eWxxHSS9 #FusionEnergy #HPC #DigitalTwin #Sustainability #Innovation #Research