bwUniCluster

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The bwUniCluster 3.0 at the Karlsruhe Institute of Technology (KIT) is a powerful platform for High Performance Computing (HPC). It offers researchers from various disciplines access to a scalable computing infrastructure that is optimized for demanding scientific calculations and simulations. The cluster enables efficient computing in areas such as data analysis, modeling and simulation, and supports research in a wide range of applications, from natural sciences to engineering.

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GridKA

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© KIT

GridKa is a powerful high-performance computing (HPC) platform of the Karlsruhe Institute of Technology (KIT), which is operated as part of the German Grid Computing Network. It provides researchers with access to extensive computing resources for demanding scientific applications in areas such as particle physics, astrophysics and climate research. Through its integration into national and international research infrastructures, GridKa supports the efficient implementation of large-scale simulation and data processing projects.

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HoreKa

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© KIT

HoreKa (High Performance Computing Resources for Karlsruhe) is a service of the Scientific Computing Center (SCC) at the Karlsruhe Institute of Technology (KIT). This service offers high-performance computing resources for complex scientific calculations, simulations and analyses. In particular, HoreKa is aimed at research projects that rely on parallel computing and require high computing power. Users can access a scalable infrastructure to efficiently process demanding computing tasks and develop innovative solutions in various scientific disciplines.

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Large-Scale Data Facility

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© KIT

The research webpage of the Scientific Computing Center (SCC) at the Karlsruhe Institute of Technology (KIT) provides an overview of the various projects and initiatives that rely on advanced computing methods and infrastructures. SCC supports a variety of scientific disciplines through High Performance Computing (HPC), data analysis and modeling. The platform provides research institutions with the necessary computing power and infrastructure to efficiently solve complex scientific problems and develop innovative solutions.

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