hyper.deal: An Efficient, Matrix-free Finite-element Library for High-dimensional Partial Differential Equations

ACM Transactions on Mathematical Software(2021)

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摘要
AbstractThis work presents the efficient, matrix-free finite-element library hyper.deal for solving partial differential equations in two up to six dimensions with high-order discontinuous Galerkin methods. It builds upon the low-dimensional finite-element library deal.II to create complex low-dimensional meshes and to operate on them individually. These meshes are combined via a tensor product on the fly, and the library provides new special-purpose highly optimized matrix-free functions exploiting domain decomposition as well as shared memory via MPI-3.0 features. Both node-level performance analyses and strong/weak-scaling studies on up to 147,456 CPU cores confirm the efficiency of the implementation. Results obtained with the library hyper.deal are reported for high-dimensional advection problems and for the solution of the Vlasov–Poisson equation in up to six-dimensional phase space.
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关键词
Matrix-free operator evaluation, discontinuous Galerkin methods, high-dimensional, high-order, Vlasov-Poisson equation, MPI-3.0 shared memory
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