NextSim: CODA: Next generation of industrial aerodynamic simulation code

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NextSim partners, as fundamental European players in Aeronautics and Simulation, recognise that there is a need toincrease the capabilities of current Computational Fluid Dynamics tools for aeronautical design by re-engineering them forextreme-scale parallel computing platforms. The backbone of NextSim is centred on the fact that, today, the capabilities ofleading-edge emerging HPC architectures are not fully exploited by industrial simulation tools. Current state-of-the-artindustrial solvers do not take sufficient advantage of the immense capabilities of new hardware architectures, such asstreaming processors or many-core platforms. A combined research effort focusing on algorithms and HPC is the only wayto make possible to develop and advance simulation tools to meet the needs of the European aeronautical industry. NextSimwill focus on the development of the numerical flow solver CODA (Finite Volume and high-order discontinuous Galerkinschemes), that will be the new reference solver for aerodynamic applications inside AIRBUS group, having a significantimpact in the aeronautical market. To demonstrate NextSim market impact, AIRBUS has defined a series of market relevantproblems. The numerical simulation of those problems is still a challenge for the aeronautical industry and their solution, at arequired accuracy and an affordable computational costs, is still not possible with the current industrial solvers. Followingthis idea, three additional working areas are proposed in NextSim: algorithms for numerical efficiency, algorithms for datamanagement and the efficiency implementation of those algorithms in the most advanced HPC platforms. Finally, NextSimwill provide access to project results trough the mini-apps concept, small pieces of software, seeking synergies with opensourcecomponents, which demonstrate the use of the novel mathematical methods and algorithms developed in CODA butthat will be freely distributed to the scientific community.

This project has received funding from the European High-Performance Computing Joint Undertaking Joint Undertaking (JU) under grant agreement No 956104. The JU receives support from the European Union’s Horizon 2020 research and innovation programme and Spain, France, Germany.