High Performance Computing in the Engineering Sciences. The modeling and numerical solution of scientific and industrial questions nowadays involve more detailed and complex models in order to address multi-physics problem settings, resolve complex spatial geometries, and meet accuracy requirements. The constantly growing computing resources on modern supercomputers provide the key infrastructure to numerically solve such large-sized models.

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Technical guides that describe Dell High-performance computing is a form of digital computation that allows users to tackle and solve complex problems at a faster rate than standard PCs allow.
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www.sd.rub.de Vortragsreihe High-Performance Computing in the Engineering Sciences Im Rahmen der im WS 2016/2017 anstehenden Vortragsreihe „High-Performance Computing in the Engineering Sciences“ finden nachstehende Vorträge statt: Montag, 13.03.2017 – IC 6 / 156

Azure high-performance computing (HPC) is a complete set of computing, networking, and storage resources integrated with workload orchestration services for HPC applications. With purpose-built HPC infrastructure, solutions, and optimized application services, Azure offers competitive price/performance compared to on-premises options.


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As a result, many software libraries have been developed for high performance computing (HPC) so application developers can leverage and reuse existing performance-tuned software. Apart from being a repository for software reuse, libraries serve the important role of providing a knowledge base for specific computational science domains.

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