Name
Title | ||
|---|---|---|
Efficient And Scalable Initialization Of Partitioned Coupled Simulations With Precice |
Abstract | ||
|---|---|---|
preCICE is an open-source library, that provides comprehensive functionality to couple independent parallelized solver codes to establish a partitioned multi-physics multi-code simulation environment. For data communication between the respective executables at runtime, it implements a peer-to-peer concept, which renders the computational cost of the coupling per time step negligible compared to the typical run time of the coupled codes. To initialize the peer-to-peer coupling, the mesh partitions of the respective solvers need to be compared to determine the point-to-point communication channels between the processes of both codes. This initialization effort can become a limiting factor, if we either reach memory limits or if we have to re-initialize communication relations in every time step. In this contribution, we remove two remaining bottlenecks: (i) We base the neighborhood search between mesh entities of two solvers on a tree data structure to avoid quadratic complexity, and (ii) we replace the sequential gather-scatter comparison of both mesh partitions by a two-level approach that first compares bounding boxes around mesh partitions in a sequential manner, subsequently establishes pairwise communication between processes of the two solvers, and finally compares mesh partitions between connected processes in parallel. We show, that the two-level initialization method is fives times faster than the old one-level scheme on 24,567 CPU-cores using a mesh with 628,898 vertices. In addition, the two-level scheme is able to handle much larger computational meshes, since the central mesh communication of the one-level scheme is replaced with a fully point-to-point mesh communication scheme. |
Year | DOI | Venue |
|---|---|---|
2021 | 10.3390/a14060166 | ALGORITHMS |
Keywords | DocType | Volume |
parallel programming, high performance computing, multi-physics simulation | Journal | 14 |
Issue | Citations | PageRank |
6 | 0 | 0.34 |
References | Authors | |
0 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Amin Totounferoush | 1 | 0 | 1.35 |
| Frédéric Simonis | 2 | 0 | 0.34 |
| Benjamin Uekermann | 3 | 0 | 0.34 |
| Miriam Schulte | 4 | 0 | 0.34 |