Optimising the Termofluids CFD code for petascale simulations
This paper presents some recent efforts carried out on the expansion of the scalability of TermoFluids multi-physics Computational Fluid Dynamics (CFD) code, aiming to achieve petascale capacity for a single simulation. We describe different aspects that we have improved in our code in order to effi...
| Autores: | , , , , , |
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| Tipo de recurso: | artículo |
| Fecha de publicación: | 2016 |
| País: | España |
| Institución: | Universitat Politècnica de Catalunya (UPC) |
| Repositorio: | UPCommons. Portal del coneixement obert de la UPC |
| Idioma: | inglés |
| OAI Identifier: | oai:upcommons.upc.edu:2117/119562 |
| Acceso en línea: | https://hdl.handle.net/2117/119562 https://dx.doi.org/10.1080/10618562.2016.1221503 |
| Access Level: | acceso abierto |
| Palabra clave: | Computational fluid dynamics High performance computing HPC parallelisation scalability petascale simulations CFD code check-pointing Càlcul intensiu (Informàtica) Dinámica de fluids computacional Àrees temàtiques de la UPC::Enginyeria mecànica::Mecànica de fluids |
| Sumario: | This paper presents some recent efforts carried out on the expansion of the scalability of TermoFluids multi-physics Computational Fluid Dynamics (CFD) code, aiming to achieve petascale capacity for a single simulation. We describe different aspects that we have improved in our code in order to efficiently run it on 131,072 CPU-cores. This work has been developed using the BlueGene/Q Mira supercomputer of the Argonne Leadership Computing Facility, where we have obtained feedback at the targeted scale. In summary, this is a practical paper showing our experience at reaching the petascale paradigm for a single simulation with TermoFluids. |
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