Name
Abstract | ||
|---|---|---|
•We present a partitioned methods for multi-physics/multi-scale simulations that is very flexible and efficient, in particular in terms of implementation cost.•We address inter-solver load-balancing, a commonly neglected aspect of such methods with a large impact on overall efficiency.•We suggest a data-based approach for accurate performance modeling of single-physics solvers that allows to overcome the limitations of analytic performance modelling.•We show that our data-based load balancing methods are capable of removing inter-solver load imbalance in a partitioned simulation. |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1016/j.jocs.2021.101329 | Journal of Computational Science |
Keywords | DocType | Volume |
Partitioned multi-physics simulations,High performance computing,Load balancing | Journal | 51 |
ISSN | Citations | PageRank |
1877-7503 | 0 | 0.34 |
References | Authors | |
0 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Amin Totounferoush | 1 | 0 | 1.35 |
| Neda Ebrahimi Pour | 2 | 0 | 1.35 |
| Juri Schröder | 3 | 0 | 0.34 |
| Sabine Roller | 4 | 17 | 3.87 |
| Miriam Mehl | 5 | 0 | 0.34 |