In order to execute various finite-difference method applications on large-scale parallel computers with a reasonable cost of computer resources, a framework using an adaptive mesh refinement (AMR) technique has been developed. AMR can realize high-resolution simulations while saving computer resources by generating and removing hierarchical grids dynamically. In the AMR framework, a dynamic domain decomposition (DDD) technique, as a dynamic load balancing method, is also implemented to correct the computational load imbalance between each process associated with parallelization. By performing a 3D AMR test simulation, it is confirmed that dynamic load balancing can be achieved and execution time can be reduced by introducing the DDD technique.
|Number of pages||11|
|Journal||Procedia Computer Science|
|Publication status||Published - 2014|
|Event||14th Annual International Conference on Computational Science, ICCS 2014 - Cairns, QLD, Australia|
Duration: Jun 10 2014 → Jun 12 2014
All Science Journal Classification (ASJC) codes
- Computer Science(all)