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SCALABLE

SCAlable LAttice Boltzmann Leaps to Exascale
Funder: French National Research Agency (ANR)Project code: ANR-20-EHPC-0012
Funder Contribution: 246,337 EUR

SCALABLE

Description

In SCALABLE, eminent industrials and academic partners will team up to achieve the scaling to unprecedented performance, scalability, and energy efficiency of an industrial LBM-based computational fluid dynamics (CFD) software. Lattice Boltzmann methods (LBM) have already evolved to become trustworthy alternatives to conventional CFD. In several engineering applications they are shown to be roughly an order of magnitude faster than Navier-Stokes approaches in a fair comparison and in comparable scenarios. LBM methods are also flexible so that they can be extended to handle complex, dynamically changing geometries, multiphase flows, and wide range of other multiphysics applications that are of high industrial relevance. In the context of EuroHPC, the distinguishing critical features of the LBM is the algorithmic locality stemming from an explicit time step. This makes the LBM especially well-suited to exploit advanced supercomputer architectures through vectorization, accelerators, and massive parallelization. In the public domain research code waLBerla, superb performance and unlimited scalability has been demonstrated, reaching more than a trillion (10^12) lattice cells already on Petascale systems. This becomes possible through systematic performance engineering and the development of an innovative computer science technology. WaLBerla performance excels because of its uncompromising unique, architecture-specific automatic generation of optimized compute kernels, together with carefully designed parallel data structures. waLBerla, however, is not compliant with industrial applications due to lack of a geometry engine and user friendliness for non-HPC experts. On the other hand, the industrial CFD software LaBS already has such industrial capabilities at a proven high level of maturity, but it still has performance worthy of improvement. Therefore, SCALABLE will transfer the leading edge performance technology from waLBerla to LaBS, thus breaking the silos between the scientific computing world and physical flow modelling world. The collaboration will deliver improved efficiency and scalability for LaBS to be prepared for the upcoming European Exascale systems. The project outcomes will be disseminated through the LaBS software and will directly benefit to the european industry as confirmed by the active involvement of Renault & Airbus in the project, and by the additional numerous letters of support from a wide aeronautics and automotive industrial community. Additionally, SCALABLE will also contribute to fundamental research. This will include energy efficient computing, GPU accelerated kernels, and a novel memory efficient sparse data structure available as open source software within the waLBerla framework.

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