@misc{munch_hyperdeal_an_2021, 
author={Munch, P., Kormann, K., Kronbichler, M.},
title={hyper.deal: An Efficient, Matrix-free Finite-element Library for High-dimensional Partial Differential Equations},
year={2021},
howpublished = {journal article},
doi = {https://doi.org/10.1145/3469720},
abstract = {This 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.},
note = {Online available at: \url{https://doi.org/10.1145/3469720} (DOI). Munch, P.; Kormann, K.; Kronbichler, M.: hyper.deal: An Efficient, Matrix-free Finite-element Library for High-dimensional Partial Differential Equations. ACM Transactions on Mathematical Software. 2021. vol. 47, no. 4, 33. DOI: 10.1145/3469720}}