Supercomputing Centers Will Expedite Access to Fight Coronavirus

Effective immediately, the Gauss Centre for Supercomputing (GCS), the alliance of Germany’s three national supercomputing centers, will help researchers working on COVID-19 research gain expedited access to computing resources. This includes access to the petascale high-performance computing infrastructures at the High-Performance Computing Center Stuttgart (HLRS), Jülich Supercomputing Centre (JSC), and Leibniz Supercomputing Centre (LRZ).

Researchers fighting the coronavirus can reach out to access GCS flagship supercomputers at HLRS, JSC, and LRZ. Gauss Centre for Supercomputing.

Researchers fighting the coronavirus can reach out to access GCS flagship supercomputers at HLRS, JSC, and LRZ. Gauss Centre for Supercomputing.

Researchers fighting the coronavirus can reach out to access GCS flagship supercomputers at HLRS, JSC, and LRZ. Courtesy of Gauss Centre for Supercomputing.

Recognizing the urgent need for new strategies to contain the global pandemic, the three GCS centers have committed to fast-tracking applications for COVID-19-related computing time to minimize hurdles during the application process. This expedited access applies to research at the molecular level to understand the virus and develop vaccines and therapeutics, epidemiological research to understand and forecast disease spread, and other related approaches aimed at understanding and halting the pandemic.

“Computational approaches can provide unique and critical insights into the biology and transmission of disease,” said Dieter Kranzlmüller, leader of the Leibniz Supercomputing Centre and GCS chair. “GCS is committed to doing everything it can to support the fight against the coronavirus, providing computing time as well as technical support to investigators working to contain its effects.”

Scientists interested in using supercomputing resources at one of the GCS centers should contact the following:

At HLRS: Michael Resch ([email protected]) and Bastian Koller ([email protected])
At JSC: Thomas Lippert ([email protected])
At LRZ: Dieter Kranzlmüller ([email protected])

There are 448 suppliers of Optics in the Photonics Marketplace.

Meadowlark Optics - Wave Plates 6/24 MR 2024

Published: March 2020

Glossary

machine learning: Machine learning (ML) is a subset of artificial intelligence (AI) that focuses on the development of algorithms and statistical models that enable computers to improve their performance on a specific task through experience or training. Instead of being explicitly programmed to perform a task, a machine learning system learns from data and examples. The primary goal of machine learning is to develop models that can generalize patterns from data and make predictions or decisions without being...
machine vision: Machine vision, also known as computer vision or computer sight, refers to the technology that enables machines, typically computers, to interpret and understand visual information from the world, much like the human visual system. It involves the development and application of algorithms and systems that allow machines to acquire, process, analyze, and make decisions based on visual data. Key aspects of machine vision include: Image acquisition: Machine vision systems use various...
computational imaging: Computational imaging refers to the use of computational techniques, algorithms, and hardware to enhance or enable imaging capabilities beyond what traditional optical systems can achieve. It involves the integration of digital processing with imaging systems to improve image quality, extract additional information from captured data, or enable novel imaging functionalities. Principles: Computational imaging combines optics, digital signal processing, and algorithms to manipulate and...

Browse Cameras & Imaging, Lasers, Optical Components, Test & Measurement, and more.