Hybridisation strategies and data structures for the NEMO ocean model. (November 2018)

• Record Type: Journal Article
• Authors: Epicoco, Italo; Mocavero, Silvia; Porter, Andrew R; Pickles, Stephen M; Ashworth, Mike; Aloisio, Giovanni
• Other Names: Balaji Pavan guest-editor.; Leung Kai-Cheung guest-editor.; Huang Zhiyi guest-editor.; García-Blas Javier guest-editor.; Brown Christopher guest-editor.
• Is Part Of: International journal of high performance computing applications. Volume 32:Number 6(2018)
• Page Start: 864
• Page End: 881
• Publication Date: 2018-11
• Subjects: Shared-memory parallel paradigm -- MPI–OpenMP -- hybrid parallelisation -- performance evaluation -- NEMO ocean model; High performance computing -- Periodicals; Supercomputers -- Periodicals; 004.1105
• DOI: 10.1177/1094342016684930
• Languages: English
• ISSNs: 1094-3420

Abstract

This work describes the introduction of a second level of parallelism based on the OpenMP shared memory paradigm to NEMO, one of the most widely used ocean models in the European climate community. Although the existing parallelisation scheme in NEMO, based on the MPI paradigm, has served it well for many years, it is becoming unsuited to current high-performance computing architectures due to their increasing tendency to have fat nodes containing tens of compute cores. Three different parallel approaches for introducing OpenMP are presented, discussed and compared on several platforms. Finally we have also considered the effect on performance of the data layout employed in NEMO.