Sisältö, joissa tagi Research infrastructure.

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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EPICURE

EPICURE aims to establish and operate a distributed but coordinated European-wide high-performance computing application support service to encourage the best possible uptake of the systems by European scientists and researchers. This support focuses on application porting, optimisation and execution of key applications to a selected number of projects.

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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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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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