{"title":"Optimizing PARSEC for Knights Landing","authors":"A. Malhanov, Ariel J. Biller, Michael Chuvelev","doi":"10.1145/2966884.2966895","DOIUrl":null,"url":null,"abstract":"PARSEC is a massively parallel Density-Functional-Theory (DFT) code. Within the modernization effort towards the new Intel Knights Landing platform, we adapted the main computational kernel, represented as high-order finite-difference stencils, to use hybrid MPI and OpenMP* runtimes. We also employed MPI-3 non-blocking neighborhood collectives for the halo exchange. We present performance data on the Knights Landing platform including MPI traces portraying our exploration of communication-computation overlap in a hybrid MPI and OpenMP application, and the fine-tuning of the interplay between the load-balancing - static at the MPI level and dynamic in OpenMP.","PeriodicalId":264069,"journal":{"name":"Proceedings of the 23rd European MPI Users' Group Meeting","volume":"8 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 23rd European MPI Users' Group Meeting","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2966884.2966895","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
PARSEC is a massively parallel Density-Functional-Theory (DFT) code. Within the modernization effort towards the new Intel Knights Landing platform, we adapted the main computational kernel, represented as high-order finite-difference stencils, to use hybrid MPI and OpenMP* runtimes. We also employed MPI-3 non-blocking neighborhood collectives for the halo exchange. We present performance data on the Knights Landing platform including MPI traces portraying our exploration of communication-computation overlap in a hybrid MPI and OpenMP application, and the fine-tuning of the interplay between the load-balancing - static at the MPI level and dynamic in OpenMP.