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Better photonics with machine learning

Image of a laser on a prism
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.

Improving chocolate with supercomputing

Chocolate and supercomputing
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. 

Talks with Dr. Rolf Rabenseifner

MPI heavyweight Dr Rolf Rabenseifner has recently retired. However, we could catch the former Head of Parallel Computing, Training and Application Services at the High-Performance Computing Center Stuttgart (HLRS), University of Stuttgart, for an extensive talk.

LUMI

The LUMI system

LUMI is one of the three EuroHPC pre-exascale systems currently being assembled. LUMI is a mostly GPU-accelerated system built by HPE-Cray using AMD Epyc CPUs and AMD Instinct GPUs. It has an architecture similar to the USA exascale system Frontier. It is operated by CSC, the national supercomputer centre of Finland. Leonardo on the other hand is based on Intel CPUs and NVIDIA GPUs. It will be operated by CINECA, the Italian national supercomputer centre.

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