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CASCADE

Computational Science for Complex Systems

Structure formation at all length scales in highly complex systems -- from elementary particles to neurons and finally to stars -- is one of the central topics in modern science. Simulation, modelling and analysis methods are the only tools that can handle this high degree of complexity. Stronger connections between the diverse scientific fields must be established to enable the common development of computational techniques, methodologies and concepts, generating synergies to maximise the scientific output.

For this purpose, the excellence cluster CASCADE -- Computational Science for Complex Systems – aimed at bringing together outstanding scientists from diverse scientific disciplines working at the University of Bonn, the Helmholtz Association, the Max-Planck Society, and the Fraunhofer Society. The tremendous expertise in theoretical sciences -- including in particular scientific computing, modelling and simulations -- accumulated by these institutions is used to foster synergies between a large diversity of application domains.

To establish this interdisciplinary approach in a lasting way, the required know-how needs to be provided to future generations of scientists. For this purpose, a new M.Sc. in Computational sciences (CSS) will be created at University of Bonn. The highly interdisciplinary concept of the master degree is key to educating a new generation of highly qualified specialists with a broad spectrum for job opportunities.
This Helmholtz Excellence Network supports the objectives of CASCADE by providing resources to three institutes within the Forschungszentrum Jülich (FZJ) that are integral players of CASCADE: JSC, INM-1, and IAS-4. Middleware and algorithms will be optimized and adapted to the Modular Supercomputing Architecture, which is the future of JSC’s supercomputing infrastructure (“Großgerät”). Focus will be on enabling the Deep Learning neuroscience applications developed by INM-1, and the lattice Monte Carlo methods for nuclear and particle physics of IAS-4 to optimally run on a Modular Supercomputer.

Partners

Rheinische Friedrich-Wilhelms-Universität Bonn, Germany
Project Coordinator

Forschungszentrum Jülich GmbH, Germany
JSC's contact person is Estela Suarez, e.suarez@fz-juelich.de

and six further institutions (see partner list).


This project is funded by the Helmholtz association under grant agreement HGF ExNet-0011-Phase 2-3.

The grant period is October 2017 until December 2019.

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More detailed information about the project is available at the project's homepage.


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