Using full hybrid mesh multiplication for simulations on one million MPI tasks
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F15%3A10229628" target="_blank" >RIV/61989100:27240/15:10229628 - isvavai.cz</a>
Alternative codes found
RIV/61989100:27740/15:10229628
Result on the web
<a href="http://dx.doi.org/10.4203/ccp.107.34" target="_blank" >http://dx.doi.org/10.4203/ccp.107.34</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.4203/ccp.107.34" target="_blank" >10.4203/ccp.107.34</a>
Alternative languages
Result language
angličtina
Original language name
Using full hybrid mesh multiplication for simulations on one million MPI tasks
Original language description
Computational Fluid Dynamics (CFD) is one of the fields which can fully utilize the capacity of existing HPC systems. There are many cases either from basic or applied research which are so complex that their numerical simulation requires very fine representation of the computational domain. To tackle some large multi-physics multi-scale problems meshes consisting of hundred billions of cells are necessary. There are several approaches to create such huge meshes. One of them is based on global mesh refinement and is also known as mesh multiplication. Global refinement was already implemented into Code Saturne enhancing its capability in terms of mesh refinement. Meshes with sizes of up to one hundred billion of cells were generated on-the-fly. Since there are many CFD problems where only local area is of interest (either areas close to boundaries, small geometrical entities or in regions with high gradient of solved quantities), local refinement is another approach for mesh generation. In this paper implementation of a parallel local refinement applied to Code Saturne is described. The bottleneck of local adaptive refinement is that it breaks load balancing of the original mesh and requires a lot of global communications. Strategy to repartition the mesh before its refinement is a key issue for optimal resource utilization. To minimize the amount of data transferred among the processor cores it is necessary to do most of the communication during the preprocessing step on the original mesh before refinement. Local mesh refinement strategy was tested and its scalability and performance within Code Saturne were analysed. Results are presented in this paper
Czech name
—
Czech description
—
Classification
Type
D - Article in proceedings
CEP classification
IN - Informatics
OECD FORD branch
—
Result continuities
Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2015
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Civil-Comp proceedings. Volume 107
ISBN
978-1-905088-62-1
ISSN
1759-3433
e-ISSN
—
Number of pages
13
Pages from-to
1-13
Publisher name
Civil-Comp Press
Place of publication
Kippen, Stirlingshire
Event location
Dubrovník
Event date
Mar 24, 2015
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
—