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Achieving over 96% inter-node weak scalability with a grid size of 1 billion cells transforms the capabilities of flow simulations in computational fluid dynamics.
Achieving up to 37% faster convergence on complex flow problems by harnessing graph neural networks to optimize algebraic multigrid solvers.
