Abstract

The present work aims at evaluating the scalabil- ity performance of a high-resolution global ocean biogeo- chemistry model (PELAGOS025) on massive parallel archi- tectures and the benefits in terms of the time-to-solution re- duction. PELAGOS025 is an on-line coupling between the Nucleus for the European Modelling of the Ocean (NEMO) physical ocean model and the Biogeochemical Flux Model (BFM) biogeochemical model. Both the models use a par- allel domain decomposition along the horizontal dimen- sion. The parallelisation is based on the message passing paradigm. The performance analysis has been done on two parallel architectures, an IBM BlueGene/Q at ALCF (Argonne Leadership Computing Facilities) and an IBM iDataPlex with Sandy Bridge processors at the CMCC (Euro Mediterranean Center on Climate Change). The outcome of the analysis demonstrated that the lack of scalability is due to several factors such as the I/O operations, the memory contention, the load unbalancing due to the memory structure of the BFM component and, for the BlueGene/Q, the absence of a hybrid parallelisation approach.

Autore Pugliese

• Aloisio Giovanni , Epicoco Italo

Tutti gli autori

• Epicoco I. , Mocavero S. , Macchia F. , Vichi M. , Lovato T. , Masina S. , Aloisio G.

Titolo volume/Rivista

GEOSCIENTIFIC MODEL DEVELOPMENT

Anno di pubblicazione

2016

ISSN

1991-9603

ISBN

Non Disponibile

Numero di citazioni Wos

1

Ultimo Aggiornamento Citazioni

28/04/2018

Numero di citazioni Scopus

1

Ultimo Aggiornamento Citazioni

28/04/2018

Settori ERC

Non Disponibile

Codici ASJC

Non Disponibile