{"title":"在不同类型存储器的图形计算设备上求解线性代数方程三对角线系统的并行算法研究","authors":"X. Pogorelskih, L. V. Loganova","doi":"10.18287/1613-0073-2019-2416-227-232","DOIUrl":null,"url":null,"abstract":"In this paper, we research and compare different implementations of cyclic reduction and sweep algorithms on a graphics processing unit (GPU) using different types of device memory. As a result of the work, it was found that the algorithm of the run should be used to solve the set of the tridiagonal linear system. However, the best results are shown by a parallel version of the cyclic reduction algorithm with partial use of shared memory, when solving a single linear system on the GPU.","PeriodicalId":10486,"journal":{"name":"Collection of selected papers of the III International Conference on Information Technology and Nanotechnology","volume":"38 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Research of parallel algorithms for solving three-diagonal systems of linear algebraic equations on a graphical computing device using various types of memory\",\"authors\":\"X. Pogorelskih, L. V. Loganova\",\"doi\":\"10.18287/1613-0073-2019-2416-227-232\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, we research and compare different implementations of cyclic reduction and sweep algorithms on a graphics processing unit (GPU) using different types of device memory. As a result of the work, it was found that the algorithm of the run should be used to solve the set of the tridiagonal linear system. However, the best results are shown by a parallel version of the cyclic reduction algorithm with partial use of shared memory, when solving a single linear system on the GPU.\",\"PeriodicalId\":10486,\"journal\":{\"name\":\"Collection of selected papers of the III International Conference on Information Technology and Nanotechnology\",\"volume\":\"38 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Collection of selected papers of the III International Conference on Information Technology and Nanotechnology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.18287/1613-0073-2019-2416-227-232\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Collection of selected papers of the III International Conference on Information Technology and Nanotechnology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.18287/1613-0073-2019-2416-227-232","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Research of parallel algorithms for solving three-diagonal systems of linear algebraic equations on a graphical computing device using various types of memory
In this paper, we research and compare different implementations of cyclic reduction and sweep algorithms on a graphics processing unit (GPU) using different types of device memory. As a result of the work, it was found that the algorithm of the run should be used to solve the set of the tridiagonal linear system. However, the best results are shown by a parallel version of the cyclic reduction algorithm with partial use of shared memory, when solving a single linear system on the GPU.