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Content
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2. Blog article: EXCELLERAT P2 All-Hands Meeting in Bologna
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3. Blog article: EXCELLERAT P2 and EuroCC Italy Workshop in Bologna
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1. Welcome
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Welcome to the 24th issue of the EXCELLERAT newsletter!
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The past few weeks have been a whirlwind of collaboration and innovation for the EXCELLERAT team. In October, we hosted the EXCELLERAT P2 All-Hands Meeting in Bologna, Italy, bringing together our partners to discuss the project's progress and future directions. This was followed by a joint workshop with EuroCC Italy, which explored the intersection of high-performance computing (HPC) and machine learning (ML) in engineering. These events underscored the growing potential of ML to enhance HPC-driven solutions.
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Looking ahead, we are excited to share that many EXCELLERAT partners will be at SC24, the world’s largest HPC conference and exhibition, taking place in Atlanta, USA, from November 17-22. SC24 offers an opportunity to connect with the global HPC community and explore the cutting edge of supercomputing technology.
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EXCELLERAT P2 Project Coordinator
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2. Blog article: EXCELLERAT P2 All-Hands Meeting in Bologna
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On October 16-17, 2024, the EXCELLERAT P2 team convened at CINECA in Bologna for the All-Hands Meeting. This event brought together stakeholders and experts to evaluate project progress and plan the next steps. Highlights included updates from key work packages, a deep dive into workflow development for HPC applications led by Matthias Meinke (RWTH), and strategies to enhance user engagement, presented by Tina Crnigoj Marc (Arctur). A dedicated session, “Transforming Technical Achievements into Success Stories,” explored ways to effectively communicate EXCELLERAT’s value to a broader audience. Participants also discussed fostering innovation through industry-academia collaboration. Read the full article
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3. Blog article: Advancing Engineering Insights through Machine Learning: EXCELLERAT P2 and EuroCC Italy Workshop in Bologna
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Following the All-Hands Meeting, EXCELLERAT P2 and EuroCC Italy hosted a workshop on October 18, 2024, at iFAB in Bologna. The event focused on integrating machine learning into engineering processes, attracting engineers, data scientists, and researchers. Sessions delved into advanced techniques like non-linear dimension reduction (t-SNE, UMAP, Diffusion Maps) and clustering algorithms (k-means, DBSCAN). Attendees also participated in hands-on exercises, learning to build ML workflows using Scikit-learn and PyTorch. Learn more in our blog article
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4. Further news & events
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New Publication supported by EXCELLERAT P2
Our team (Francesco Salvadore, Sergio Pirozzoli) has successfully contributed to extending the STREAmS-2 compressible CFD solver to operate on both NVIDIA and AMD GPUs, making it a versatile tool for simulating high-speed turbulent flows at an unprecedented scale. This study demonstrates excellent scalability on EuroHPC Joint Undertaking (EuroHPC JU) systems Leonardo and LUMI, achieving over 95% efficiency on the largest clusters. Find more publications with EXCELLERAT involvement on our website.
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Numerical Methods for Large Eddy Simulation Using AVBP
November 18-22, 2024, Toulouse, France
The Numerical Methods for Large Eddy Simulation (LES) Using AVBP workshop offers in-depth training on the AVBP code, a key tool in reactive flow simulations. This course is ideal for engineers and researchers focusing on turbulence and combustion modelling. Registration details can be found here.
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Programming CFD in OpenFOAM
November 25-27, 2024, Casalecchio di Reno, Italy
This advanced course on Programming CFD in OpenFOAM provides participants with a deep dive into the code architecture and numerical algorithms within OpenFOAM. It's designed for experienced C++ programmers and CFD researchers. More information is available on the EXCELLERAT P2 Service Portal.
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Data Analytics for Engineering Data Using Machine Learning
March 10-12, 2025, Online
This online workshop covers the application of machine learning methods to numerical simulation data. Attendees will gain hands-on experience with Python libraries such as numpy, scikit-learn, and PyTorch. Learn more and register here.
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Funded by the European Union. This work has received funding from the European High Performance Computing Joint Undertaking (JU) and Germany, Italy, Slovenia, Spain, Sweden, and France under grant agreement No 101092621.
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Höchstleistungsrechenzentrum Stuttgart (HLRS) | Nobelstraße 19
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70569 Stuttgart | Germany
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