@inproceedings{5a4ec421fbc746998c01ce7499b134ac,
title = "Global load balancing with parallel mesh adaption on distributed-memory systems",
abstract = "Dynamic mesh adaption on unstructured grids is a powerful tool for efficiently computing unsteady problems to resolve solution features of interest. Unfortunately this causes load imbalance among processors on a parallel machine. This paper describes the parallel implementation of a tetrahedral mesh adaption scheme and a new global load balancing method. A heuristic remapping algorithm is presented that assigns partitions to processors such that the redistribution cost is minimized. Results indicate that the parallel performance of the mesh adaption code depends on the nature of the adaption region and show a 35.5X speedup on 64 processors of an SP2 when 35% of the mesh is randomly adapted. For large-scale scientific computations, our load balancing strategy gives almost a sixfold reduction in solver execution times over non-balanced loads. Furthermore, our heuristic remapper yields processor assignments that are less than 3% off the optimal solutions but requires only 1% of the computational time.",
keywords = "Distributed-memory machines, Dual graph, Load balancing, Mesh adaption, Processor reassignment, Unstructured grids",
author = "Rupak Biswas and Leonid Oliker and Andrew Sohn",
note = "Publisher Copyright: {\textcopyright} 1996 IEEE.; 1996 ACM/IEEE Conference on Supercomputing, SC 1996 ; Conference date: 17-11-1996 Through 22-11-1996",
year = "1996",
doi = "10.1109/SUPERC.1996.183535",
language = "English (US)",
series = "Proceedings of the International Conference on Supercomputing",
publisher = "Association for Computing Machinery",
booktitle = "Proceedings of the 1996 ACM/IEEE Conference on Supercomputing, SC 1996",
}