Topic 1 Enabling Computational- & Data-Intensive Science and Engineering
To this end the activities at KIT include domain-specific research and consulting in research data management, data infrastructures, performance engineering, artificial intelligence (AI), machine learning and data analytics.
A prime objective of Topic 1 is to achieve profound competence in the management and analytics of large-scale, often heterogeneous data sets as well as the most complex (data-driven) models and theories through research & development (R&D) on and application of state-of-the-art research data management procedures, data analytics workflows, advanced machine learning and AI methods. Another core objective is to research and develop scalable advanced simulation algorithms and tools for the latest supercomputers approaching the exascale including disruptive technologies such as quantum computing. To realize these objectives, it is essential that R&D activities are interdisciplinary and that researchers from computer science and mathematics work closely together with different application domains in the SimDataLabs (e.g., climate, materials, and energy sciences as well as physics), each having their own scientific challenges, as well as in software sustainability and performance engineering. This is enhanced by our R&D-based consulting activities in Computational and Data Science as well as Artificial Intelligence. A further central and binding objective involves research on cross-domain generic activities in computer science and mathematics (e.g., on big data methods, algorithm engineerings, artificial intelligence, computational science and mathematical methods, uncertainty quantification and quantum machine learning). This ensures synergy and knowledge transfer of both generic and applied algorithms, methods, tools, and software between the different application areas aiming to use data-intensive computing systems, such as HoreKa, GridKa or the LSDF, more efficiently today and in the future.
Various third party funded projects from the state Baden-Württemberg, DFG, BMBF, trusts and the European Commission extend the program activities. It is close to our heart to also reach out to the young generation; our activities and offers aims at inspiring them for Computational- & Data-Intensive Science and Engineering.
