Academic user story

Whether it's designing more efficient wind turbines ⚡, faster cars ?️, or more fuel-efficient aircraft ✈️, computational fluid dynamics (CFD) is an essential tool for researchers. To obtain accurate results, it is sometimes necessary to describe complex structures with great precision, which can require very substantial computing resources; hence, the use of supercomputers. However, implementing CFD methods efficiently on HPC infrastructures is not straightforward, as a lot of communication is inherently required between the different processing units of the supercomputer. In this user story, Pierre Balty, from Ph. Chatelain’s lab, explains where this limitation comes from and how they work on efficient parallelisation methods, pushing back the limits of what is possible in CFD.

Upscaling your resources from Tier-2 to Tier-1 or Tier-0 can be a huge advantage and accelerator for your research ??! Tim Lebailly, PhD student at PSI, aims to improve current machine algorithms for AI. He went from Tier-2 to Tier-0 infrastructure for his research. According to Tim, moving up from Tier-2 to Hortense (Tier-1) was very straightforward: “It’s very similar hardware. Only the scheduler is different, but that’s a detail.”  Tim also had to conduct numerous experiments in parallel. If he attempted this while using Tier-1, he used the entire GPU partition exclusively, causing some jobs to remain in the queue for a long time. The next logical step for Tim was to apply for compute time on LUMI, the fastest Tier-0 supercomputer in Europe. Tim: “Thanks to the scale of LUMI, I only utilise a small fraction of the supercomputer's capacity, enabling me to schedule all my jobs simultaneously. In that regard, the user experience is really nice.” Want to know more? Read all about Tim's upscaling journey by clicking the title above or via www.enccb.be/usupscalingtimlebailly.

Matchmaking is one of the services offered by VSC: finding the right partner to help solve research questions of users. In this case, VSC introduced Puxano to the Data Science Institute of UHasselt (DSI). DSI brings together over 150 researchers working in the broad field of data science across faculties and research groups at Hasselt University.

Photonics is the study of quantum light grains, the photons. Photonic devices can be designed using numerical simulations based on the equation of electromagnetism. But real systems are so complex that optimizing a device can be too computationally demanding, even for supercomputers. Fortunately, machine learning is a great help when it comes to optimization.

Did you know that supercomputing is used to improve chocolate? Fermentation is the first step in the production of chocolate. In this process, the activity of microorganisms contributes to the chocolate’s taste. The Research Group of Industrial Microbiology and Food Biotechnology (IMDO) of the Vrije Universiteit Brussel deals with the qualitative and quantitative study of fermented food systems using methodologies including next-generation DNA sequencing. This technology provides unseen possibilities to investigate microbiomes involved in food fermentation processes but also implies growing datasets and databases, which in turn results in more computational requirements. For IMDO, the need for increasing computational capacity meant an informative journey from using their own cluster to using the VSC Tier-1 infrastructure. 

In a warehouse, orders have to be picked by order pickers. These order pickers have to visit the storage locations of the items on their pick list and retrieve the requested number of items. By combining similar orders on a single pick list, the travelling distance per order can be reduced. This increases efficiency and, thus, productivity.

Over the last decades, the amount of CO₂ in our atmosphere has increased significantly. In the shorter term, one of these solutions is capturing CO₂ at point sources and converting the captured CO₂ into valuable chemicals. Prof. Kevin Van Geem and his team developed a gas-liquid vortex unit capable of that.

Galaxies are widely considered the basic building blocks of our Universe. Therefore, it is crucial to understand them to gain insight into the Universe. Cosmological hydrodynamic simulations are an increasingly popular method to study galaxy formation and evolution. In this user story Maarten Baes, prof. astrophysics at Ghent University explains how supercomputing is essential for their cosmological simulations.  

Martin Grignard (University of Liège) developed new simulation software, called Shamo. This package smoothly interfaces with existing tools to easily simulate the propagation of electromagnetic waves through the brain. Indeed, while this propagation is the basis of different medical techniques, interpreting the data correctly requires to take into account the complexity and uniqueness of each head.