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Science: How Brain Research Makes New Demands on Supercomputing

In the latest issue of Science, Katrin Amunts and Thomas Lippert explain how advances in neuroscience demand high-performance computing technology and will ultimately need exascale computing power. The construction of a supercomputer capable of 10 to the power of 18 computing operations per second has been considered the next big step in supercomputing for many years.

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Superrechner JUWELS

Measuring the AI Performance of Europe's Fastest Supercomputer

Researchers at Forschungszentrum Jülich and the Karlsruhe Institute of Technology (KIT) wanted to know how Europe's fastest supercomputer performs when it comes to training neural networks. – and have subjected it to a new performance test for artificial intelligence, or AI for short. The enormous computing power is required, among other things, for the development of language models and weather forecasts with AI. The results were presented at the world's largest supercomputing conference, SC21.

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JURECA-DC

Supercomputer for Large Data Volumes

Forschungszentrum Jülich upgraded the modular supercomputer JURECA which is now capable of 23.5 quadrillion computations per second (petaflops). One particular focus of the new system is on processing gigantic volumes of data. This was achieved by installing the module JURECA-DC – “DC” stands for “data-centric” – delivered by the French vendor Atos and operated by the cluster software of the German company ParTec.

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Besuch Bundesumweltministerin Svenja Schulze

AI against Climate Change: Environment Minister Svenja Schulze Visits Forschungszentrum Jülich

Federal environment minister Svenja Schulze paid a visit to Forschungszentrum Jülich on 28 June 2021 as part of her summer tour. Information about energy-efficient supercomputing and the use of artificial intelligence (AI) to benefit climate and environmental protection were the focal point of the visit. Jülich researchers want to apply AI methods to identify any risks associated with climate change at an early stage.

More: AI against Climate Change: Environment Minister Svenja Schulze Visits Forschungszentrum Jülich …

arm Neoverse V1 chip

Arm and Forschungszentrum Jülich sign multi-year collaboration agreement

Jülich, 18 May 2021 Arm and the Forschungszentrum Jülich signed today a multi-year cooperation agreement. Its goal is to strengthen their joint effort in identifying the requirements of High Performance Computing (HPC) applications and advancing their porting and optimization on Arm-based architectures. The joint team carries on performance analysis and code engineering, taking advantage of specific features of Arm-based hardware to further advance application performance. The code requirements identified in this effort will help in the design of future HPC technologies and systems.

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Passt das magnetische Moment des Myons in unsere physikalische Vorstellung über die Welt? Superrechner bringen neue Erkenntnisse in das alte Rätsel.

Muons – a Magnetic Mystery

Jülich, 7 April 2021 – For around 20 years, there has been a discrepancy between the theoretical predictions and experimental measurements of the muon magnetic field, indicating a possible error in our current physical understanding. A new calculation method with unprecedented precision has now taken the theoretical prediction closer to the previous experimental value. For the most part, the work involving scientists from Forschungszentrum Jülich was conducted using Jülich’s supercomputers. The research findings have now been published in the renowned journal Nature. They are particularly relevant, since the first results of a new US experiment aiming to determine the muon magnetic field with greater precision will be announced on 7 April.

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Supercomputer JURECA

Concentrated computing power against SARS-CoV-2

The first vaccines authorised for use are raising hopes for an end to the pandemic. What is still missing, however, is an effective cure. In the European joint project EXSCALATE4CORONAVIRUS (E4C), scientists are searching for molecules that block central proteins of the coronavirus. In a recent publication – which resulted from an academic collaboration of scientists consisting of E4C, the “Human Brain Project” and other European research institutions – the team headed by Prof. Giulia Rossetti from Jülich reports a method to predict more precisely which molecules inhibit “Mpro”, the main protease of SARS-CoV-2.

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Corona-Compliance Teaser

Compliance with Coronavirus Measures

Jülich, 9 February 2021 – One year after the COVID-19 pandemic began, Germany is once again in lockdown and no-one knows for how long. Calculations by Forschungszentrum Jülich and the Frankfurt Institute for Advanced Studies (FIAS) show why it is so important for as many people as possible to limit their contacts. It will only be possible to significantly reduce the number of infections within a few weeks if the overwhelming majority of the population actually adheres to the contact restrictions. In the calculated scenarios, this only succeeds when the contact restrictions are comparatively strict, and even then only if a large majority of the population adheres to those contact restrictions.

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Supercomputer Made in Jülich Setting New Benchmarks

Forschungszentrum Jülich’s upgraded supercomputer JUWELS is now capable of 85 petaflops. This is equivalent to 85 quadrillion computing operations per second or the computing power of more than 300,000 modern PCs. Thanks to its new booster module, JUWELS is able to massively expand the application limits of simulations and also offers the strongest platform in Europe for the use of artificial intelligence (AI).

More: Supercomputer Made in Jülich Setting New Benchmarks …

BSTIM für Covid-19

New Model for District-Based Coronavirus Forecasts

Jülich / Osnabrück, 23 September 2020 – Neuroinformatics scientists at Osnabrück University and data specialists at Forschungszentrum Jülich are releasing new model results daily to forecast COVID-19 infections. The results include estimates updated daily of the reported new infections and a 5-day forecast for every German district, and are available at https://covid19-bayesian.fz-juelich.de. The predictions are based on data from the Robert Koch Institute, which are statistically analysed using a new model weighted by probability that was developed by Osnabrück’s neuroinformatics scientists on high-performance computers at the Jülich Supercomputing Centre (JSC).

More: New Model for District-Based Coronavirus Forecasts …

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