Nu-FuSE: Nuclear Fusion Simulations Exascale

The Nu-FuSE project looked to significantly improve computational modelling capabilities to the level required for the new generation of fusion reactors.

The focus was on three specific scientific areas: fusion plasma; the materials from which fusion reactors are built, and the physics of the plasma edge. These will require computing at the exascale level across a range of simulation codes, working towards full integrated fusion tokamak modelling.

The largest supercomputers today can perform over a petaflop of calculations per second on real scientific applications. However exascale systems are planned which will perform an exaflop (a million million million calculations per second), and so be a thousand times faster. To exploit these systems for fusion modelling creates significant challenges around scaling, resilience, result validation and programmability. The project focused on meeting these challenges by improving the performance and scaling of community modelling codes to enable simulations of a larger magnitude. In addition, the project worked to educate fusion scientists in parallel and exascale programming challenges to develop a community of fusion scientists with the requisite skills to model fusion plasmas as a whole.

Nu-FuSE was an international project sponsored by the G8 group of leading industrial nations. It was led by Professor Graeme Ackland at The University of Edinburgh, and included research teams in Cadarache, France, (also the location of the next generation of Fusion reactors, ITER), Edinburgh (UK), Princeton (USA), Garching and Jülich (Germany) and Tsukuba (Japan). It was funded through the G8 Research Councils Initiative on Multilateral Research Funding.

For further information, see the Nu-Fuse project website.

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