{"title":"MultiGPU computing using MPI or OpenMP","authors":"Gabriel Noaje, M. Krajecki, Christophe Jaillet","doi":"10.1109/ICCP.2010.5606414","DOIUrl":null,"url":null,"abstract":"The GPU computing follows the trend of GPGPU, driven by the innovations in both hardware and programming languages made available to nongraphic programmers. Since some problems require an important time to solve or data quantities that do not fit on one single GPU, the logical continuation was to make use of multiple GPUs.","PeriodicalId":303137,"journal":{"name":"Proceedings of the 2010 IEEE 6th International Conference on Intelligent Computer Communication and Processing","volume":"13 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"13","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2010 IEEE 6th International Conference on Intelligent Computer Communication and Processing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCP.2010.5606414","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 13
Abstract
The GPU computing follows the trend of GPGPU, driven by the innovations in both hardware and programming languages made available to nongraphic programmers. Since some problems require an important time to solve or data quantities that do not fit on one single GPU, the logical continuation was to make use of multiple GPUs.