{"title":"The roofline model for oceanic climate applications","authors":"I. Epicoco, S. Mocavero, F. Macchia, G. Aloisio","doi":"10.1109/HPCSim.2014.6903762","DOIUrl":null,"url":null,"abstract":"The present work describes the analysis and optimisation of the PELAGOS025 configuration based on the coupling of the NEMO physic component of the ocean dynamics and the BFM (Biogeochemical Flux Model), a sophisticated biogeochemical model that can simulate both pelagic and benthic processes. The methodology here followed is characterised by the performance analysis of the original parallel code, in terms of strong scalability, the definition of the bottlenecks limiting the scalability when the number of processes increases, the analysis of the features of the most computational intensive kernels through the Roofline model which provides an insightful visual performance model for multicore architectures and which allows to measure and compare the performance of one or more computational kernels run on different hardware architectures.","PeriodicalId":6469,"journal":{"name":"2014 International Conference on High Performance Computing & Simulation (HPCS)","volume":"41 1","pages":"732-737"},"PeriodicalIF":0.0000,"publicationDate":"2014-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 International Conference on High Performance Computing & Simulation (HPCS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/HPCSim.2014.6903762","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
The present work describes the analysis and optimisation of the PELAGOS025 configuration based on the coupling of the NEMO physic component of the ocean dynamics and the BFM (Biogeochemical Flux Model), a sophisticated biogeochemical model that can simulate both pelagic and benthic processes. The methodology here followed is characterised by the performance analysis of the original parallel code, in terms of strong scalability, the definition of the bottlenecks limiting the scalability when the number of processes increases, the analysis of the features of the most computational intensive kernels through the Roofline model which provides an insightful visual performance model for multicore architectures and which allows to measure and compare the performance of one or more computational kernels run on different hardware architectures.