A multithreaded OpenMP implementation of the LU-SGS method using the multilevel decomposition of the unstructured computational mesh
- Autores: Petrov M.N.1, Titarev V.A.1,2, Utyuzhnikov S.V.1,3, Chikitkin A.V.1
 - 
							Afiliações: 
							
- Moscow Institute of Physics and Technology
 - Dorodnicyn Computing Center, Federal Research Center “Computer Science and Control,”
 - University of Manchester
 
 - Edição: Volume 57, Nº 11 (2017)
 - Páginas: 1856-1865
 - Seção: Article
 - URL: https://journals.rcsi.science/0965-5425/article/view/179547
 - DOI: https://doi.org/10.1134/S0965542517110124
 - ID: 179547
 
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Resumo
A new parallel version of the method LU-SGS (Lower-upper symmetric Gauss-Seidel) based on a multilevel decomposition of the unstructured computational mesh is proposed. The advantages of the proposed approach are demonstrated by computing the supersonic flow around the RAM-C geometry. The method is well scalable when a large number of threads are used on the processor Intel Xeon Phi.
Sobre autores
M. Petrov
Moscow Institute of Physics and Technology
							Autor responsável pela correspondência
							Email: mikhail.petrov@phystech.edu
				                					                																			                												                	Rússia, 							Dolgoprudnyi, Moscow oblast, 141700						
V. Titarev
Moscow Institute of Physics and Technology; Dorodnicyn Computing Center, Federal Research Center “Computer Science and Control,”
														Email: mikhail.petrov@phystech.edu
				                					                																			                												                	Rússia, 							Dolgoprudnyi, Moscow oblast, 141700; Moscow, 119333						
S. Utyuzhnikov
Moscow Institute of Physics and Technology; University of Manchester
														Email: mikhail.petrov@phystech.edu
				                					                																			                												                	Rússia, 							Dolgoprudnyi, Moscow oblast, 141700; Manchester, M13 9PL						
A. Chikitkin
Moscow Institute of Physics and Technology
														Email: mikhail.petrov@phystech.edu
				                					                																			                												                	Rússia, 							Dolgoprudnyi, Moscow oblast, 141700						
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