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In this proceedings volume we provide a compilation of article contributions equally covering applications from different research fields and ranging from capacity up to capability computing. Besides classical computing aspects such as parallelization, the focus of these proceedings is on multi-scale approaches and methods for tackling algorithm and data complexity. Also practical aspects regarding the usage of the HPC infrastructure and available tools and software at the SCC are presented.

Science Data processing

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Supercomputers - Congresses. --- Science - Data processing - Congresses.

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Science --- Technology --- Data processing --- Science - Data processing --- Technology - Data processing

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Libraries - Automation - Forms. --- Library science - Data processing - Forms.

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"Data-driven discovery is revolutionizing the modelling, prediction, and control of complex systems. This textbook brings together machine learning, engineering mathematics, and mathematical physics to integrate modelling and control of dynamical systems with modern methods in data science. It highlights many of the recent advances in scientific computing that enable data-driven methods to be applied to a diverse range of complex systems, such as turbulence, the brain, climate, epidemiology, finance, robotics, and autonomy. Aimed at advanced undergraduate and beginning graduate students in the engineering and physical sciences, the text presents a range of topics and methods from introductory to state of the art"--

Engineering --- Science --- Mathematical analysis. --- Data processing. --- Mathematical analysis --- Data processing --- Engineering - Data processing --- Science - Data processing