{"title":"Implementation of selected numerical algorithms for solving sparse matrixes using CUDA technology","authors":"J. Zimon, M. Zoworka","doi":"10.1109/SELM.2013.6562988","DOIUrl":null,"url":null,"abstract":"This thesis presents an implementation of Finite Element Method (FEM), with focus on sparse matrix solving methods using NVIDIA CUDA devices. Development of an application GPU_FEM that implements Finite Element Method has been presented. The calculation results and calculation times have been compared for different hardware configuration as well as for different algorithms. Presented tests show up to 70 times faster sparse matrix solving in comparison to FEMM application.","PeriodicalId":244408,"journal":{"name":"2013 International Symposium on Electrodynamic and Mechatronic Systems (SELM)","volume":"50 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 International Symposium on Electrodynamic and Mechatronic Systems (SELM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SELM.2013.6562988","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4
Abstract
This thesis presents an implementation of Finite Element Method (FEM), with focus on sparse matrix solving methods using NVIDIA CUDA devices. Development of an application GPU_FEM that implements Finite Element Method has been presented. The calculation results and calculation times have been compared for different hardware configuration as well as for different algorithms. Presented tests show up to 70 times faster sparse matrix solving in comparison to FEMM application.
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