Name
Abstract | ||
|---|---|---|
In this article, a new generic higher-order finite-element framework for massively parallel simulations is presented. The modular software architecture is carefully designed to exploit the resources of modern and future supercomputers. Combining an unstructured topology with structured grid refinement facilitates high geometric adaptability and matrix-free multigrid implementations with excellent performance. Different abstraction levels and fully distributed data structures additionally ensure high flexibility, extensibility, and scalability. The software concepts support sophisticated load balancing and flexibly combining finite-element spaces. Example scenarios with coupled systems of partial differential equations show the applicability of the concepts to performing geophysical simulations.[GRAPHICS]. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1080/17445760.2018.1506453 | INTERNATIONAL JOURNAL OF PARALLEL EMERGENT AND DISTRIBUTED SYSTEMS |
Keywords | Field | DocType |
Simulation framework design, finite elements, structured refinement, matrix-free, scalable parallel solvers, supercomputing | Supercomputer,Massively parallel,Computer science,Parallel computing,Finite element method,Exploit,Software architecture,Modular design,Multigrid method,Distributed computing,Scalability | Journal |
Volume | Issue | ISSN |
34 | 5 | 1744-5760 |
Citations | PageRank | References |
1 | 0.36 | 36 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Nils Kohl | 1 | 6 | 0.77 |
| Dominik Thönnes | 2 | 1 | 0.36 |
| Daniel Drzisga | 3 | 6 | 2.15 |
| Dominik Bartuschat | 4 | 14 | 3.40 |
| Ulrich Rüde | 5 | 505 | 72.00 |