RDI Activities
Research, Development & Innovation Activities
CSC proactively seeks out opportunities to innovate and develop new services for our customers. To fulfill our special task to support the higher education and research we systematically monitor what can be future key technologies and services, and we initiate and take part in collaborative Research, Development & Innovation (RDI) projects to benefit research and education. CSC seeks much of its external RDI funding from Academy of Finland, Business Finland, Connecting Europe Facility (CEF), EU Framework Programme for Research and Innovation (Horizon 2020, Horizon Europe), European Regional Development Fund (ERDF) and Nordic e-Infrastructure Collaboration (NeIC).
We take part in over 60 externally funded RDI projects together with our partners. This collaboration brings direct benefits to Finland as it enables us to offer state-of-the-art services, such as world-class computing capacity and data services, directly to the researchers. In addition, the projects allow us to bring our stakeholders views into international discussions on common standards and policies. All with the aim to enhance the competitiveness, performance and quality of European science, and society at large.
Content with Funding Other .
ASTERIX
ASTERIX aims to protoype, evaluate and implement a lossy restart algorithm for Vlasiator - the world’s most accurate near-Earth space simulation. The algorithm will, among other benefits, increase resilience of the simulation running in a supercomputer.
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EuroCC 2
EuroCC 2 builds on the results of the EuroCC project and its main task, in addition to high-level management to monitor progress in the NCCs’ development, is to support national centres in setting up their individual operational frameworks, while accessing and making the most of the experience and expertise currently available at the national and European levels.
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NEOSC
The NEOSC project studies two complementary methods to resolve the data analysis bottleneck in GPU-accelerated stencil computations: a data-driven reduced initial-condition (RIC) algorithm and an opportunistic data operations platform (ODOP).
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NOCOS DT Phase 2
NOCOS DT aims to explore and pilot the digital twin technology opportunities and showcase how outputs from key initiatives such as the Destination Earth (DestinE) Climate Adaptation Digital Twin (Climate DT) could be leveraged for key sea-ice impact sectors in the Nordic and Baltic context.
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XCALE
The XCALE project will develop novel algorithms to add physics-based functionality to machine learning potentials (MLPs) to be able to tackle a larger number of problems in materials science and biomolecular design than is currently possible.
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