Dynamic resource allocation for efficient parallel CFD simulations

Autor:	Houzeaux, G., Badia, R. M., Borrell, R., Dosimont, D., Ejarque, J., Garcia-Gasulla, M., López, V.
Rok vydání:	2021
Předmět:	Computer Science - Distributed Parallel and Cluster Computing Computer Science - Computational Engineering Finance and Science Mathematics - Numerical Analysis D.1 D.2 J.2 J.6
Druh dokumentu:	Working Paper
DOI:	10.1016/j.compfluid.2022.105577
Popis:	CFD users of supercomputers usually resort to rule-of-thumb methods to select the number of subdomains (partitions) when relying on MPI-based parallelization. One common approach is to set a minimum number of elements or cells per subdomain, under which the parallel efficiency of the code is "known" to fall below a subjective level, say 80%. The situation is even worse when the user is not aware of the "good" practices for the given code and a huge amount of resources can thus be wasted. This work presents an elastic computing methodology to adapt at runtime the resources allocated to a simulation automatically. The criterion to control the required resources is based on a runtime measure of the communication efficiency of the execution. According to some analytical estimates, the resources are then expanded or reduced to fulfil this criterion and eventually execute an efficient simulation. Comment: 27 pages, 15 figures
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2112.09560 Zobrazit plný text záznamu View this record from Arxiv