Viktor Daropoulos

Convolutional neural network-driven preconditioners for conjugate gradients

Johannes Sappl, Viktor Daropoulos, Wolfgang Rauch, Matthias Harders

Abstract We present a data-driven approach for preconditioning large sparse symmetric positive definite linear systems using convolutional neural networks tailored for sparse tensor inputs. Our work targets system matrices arising from the discretization of partial differential e…Read more