IN SItu/Web visualizatioN of CFD Data Using OpenFOAM

Project reference: 1905 I/O is recognized to be the main bottleneck to achieve the Exascale computing, which is up to 1000x faster than current Petascale systems. The main cause can be identified in the disproportion of the rate of change between

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Electronic structure of nanotubes by utilizing the helical symmetry properties: The code optimization

Project reference: 1904 In calculations of nanotubes prevail methods based on a one-dimensional translational symmetry using a huge unit cell. A pseudo two-dimensional approach, when the inherent helical symmetry of general chirality nanotubes is exploited, has been limited to simple

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High-performance machine learning

Project reference: 1903 The goal of the project is to demonstrate that HPC tools are (at least) as good, or even better, for big data processing as the popular JVM-based technologies, such as the Hadoop MapReduce or Apache Spark. The

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Reproducing Automated Heterogeneous Memory Data Distribution Literature Results and Beyond

Project reference: 1902 Supercomputers are a key tool for professionals from many disciplines to address society challenges, enabling them to perform, e. g., climate change simulations or genome analysis. European Commission’s high-performance computing (HPC) Strategy, implemented in the Horizon 2020

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Analysing effects of profiling in heterogeneous memory data placement

Project reference: 1901 Supercomputers are a key tool for professionals from many disciplines to address society challenges, enabling them to perform, e. g., climate change simulations or genome analysis. European Commission’s high-performance computing (HPC) Strategy, implemented in the Horizon 2020

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