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<span lang="en">TUD Dresden University of Technology</span> | Dresden, Sachsen | Germany | 11 days ago
algorithms for application parallelization, simulators and virtual platforms for application- and architecture exploration, hardware/software co-design and operating/runtime systems. Typical application
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methods was launched within IT. The focus is to develop novel, efficient algorithms and methods to cope with the big amounts of data that require processing (incl. machine learning), as well as to
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-specific computer architectures, networks-on-chip (NoCs), methods and algorithms for application parallelization, simulators and virtual platforms for application- and architecture exploration, hardware
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, including competitive water adsorption (humidity) effects establishing AI-supported algorithms for material selection in close feedback loops with experimentalists machine learning for process implementation