Optimising the Termofluids CFD code for petascale simulations

ABSTRACT

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.

KEYWORDS:

• HPC
• parallelisation
• scalability
• petascale simulations
• CFD code
• check-pointing

Acknowledgements

This work has been financially supported by the Ministerio de Economía y Competitividad, Spain (ENE2014-60577-R), a Juan de la Cierva posdoctoral grant (IJCI-2014-21034), a PDJ 2014 Grant by AGAUR (Generalitat de Catalunya) and by the CONICYT Becas Chile Doctorado 2012.Calculations have been performed on the Mira supercomputer of the Argonne Leadership Computing Facility. The authors thankfully acknowledge these institutions.

Disclosure statement

No potential conflict of interest was reported by the authors.

Additional information

Funding

Ministerio de Economía y Competitividad, Spain [grant number ENE2014-60577-R]; a Juan de la Cierva posdoctoral [grant number IJCI-2014-21034]; a PDJ 2014 Grant by AGAUR (Generalitat de Catalunya) [grant number PDJ2014-00073] and by the CONICYT Becas Chile Doctorado 2012 [grant number 72130390].