{ "id": "2401.00228", "version": "v1", "published": "2023-12-30T13:31:33.000Z", "updated": "2023-12-30T13:31:33.000Z", "title": "Parallel-in-time Multilevel Krylov Methods: A Prototype", "authors": [ "Yogi A. Erlangga" ], "comment": "23 pages", "categories": [ "math.NA", "cs.NA" ], "abstract": "This paper presents a parallel-in-time multilevel iterative method for solving differential algebraic equation, arising from a discretization of linear time-dependent partial differential equation. The core of the method is the multilevel Krylov method, introduced by Erlangga and Nabben~{\\it [SIAM J. Sci. Comput., 30(2008), pp. 1572--1595]}. In the method, special time restriction and interpolation operators are proposed to coarsen the time grid and to map functions between fine and coarse time grids. The resulting Galerkin coarse-grid system can be interpreted as time integration of an equivalent differential algebraic equation associated with a larger time step and a modified $\\theta$-scheme. A perturbed coarse time-grid matrix is used on the coarsest level to decouple the coarsest-level system, allowing full parallelization of the method. Within this framework, spatial coarsening can be included in a natural way, reducing further the size of the coarsest grid problem to solve. Numerical results are presented for the 1- and 2-dimensional heat equation using {\\it simulated} parallel implementation, suggesting the potential computational speed-up of up to 9 relative to the single-processor implementation and the speed-up of about 3 compared to the sequential $\\theta$-scheme.", "revisions": [ { "version": "v1", "updated": "2023-12-30T13:31:33.000Z" } ], "analyses": { "subjects": [ "65F10", "65M55", "65Y05", "68W10" ], "keywords": [ "parallel-in-time multilevel krylov methods", "differential algebraic equation", "linear time-dependent partial differential equation", "time grid" ], "note": { "typesetting": "TeX", "pages": 23, "language": "en", "license": "arXiv", "status": "editable" } } }