Abstract: We study the performance behavior of the sparse matrix-vector product operation in distributed computing environments, in the case of very large non-diagonal matrices where the nonzero ...
Abstract: We propose the Physics-Informed Neural Network-driven Sparse Field Discretization method (PINN-SFD), a novel self-supervised, physics-informed deep learning approach for addressing the ...
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