@inproceedings{c1a934bedaba4cdba0143d4676d10955,
title = "Comparing Domain Decomposition Methods for the Parallelization of Distributed Land Surface Models",
abstract = "Current research challenges in hydrology require high resolution models, which simulate the processes comprising the water-cycle on a global scale. These requirements stand in great contrast to the current capabilities of distributed land surface models. Hardly any literature noting efficient scalability past approximately 64 processors could be found. Porting these models to supercomputers is no simple task, because the greater part of the computational load stems from the evaluation of highly parametrized equations. Furthermore, the load is heterogeneous in both spatial and temporal dimension, and considerable load-imbalances occur triggered by input data. We investigate different domain decomposition methods for distributed land surface models and focus on their properties concerning load balancing and communication minimizing partitionings. Artificial strong scaling experiments from a single core to 8, 192 cores show that graph-based methods can distribute the computational load of the application almost as efficiently as coordinate-based methods, while the partitionings found by the graph-based method significantly reduce communication overhead.",
keywords = "Graph-partitioning, High-perfomance computing, Hydrology, Load-balancing",
author = "{von Ramm}, Alexander and Jens Weism{\"u}ller and Wolfgang Kurtz and Tobias Neckel",
note = "Publisher Copyright: {\textcopyright} 2019, The Author(s).; 19th International Conference on Computational Science, ICCS 2019 ; Conference date: 12-06-2019 Through 14-06-2019",
year = "2019",
doi = "10.1007/978-3-030-22734-0_15",
language = "English",
isbn = "9783030227333",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "197--210",
editor = "Rodrigues, {Jo{\~a}o M.F.} and Cardoso, {Pedro J.S.} and J{\^a}nio Monteiro and Roberto Lam and Krzhizhanovskaya, {Valeria V.} and Lees, {Michael H.} and Sloot, {Peter M.A.} and Dongarra, {Jack J.}",
booktitle = "Computational Science – ICCS 2019 - 19th International Conference, Proceedings",
}