Shucheng Huang, Li Xu, Bingqi Liu, Zhonghai Yang, Bin Li
{"title":"Unified GPU Parallel Framework Based on Discontinuous Galerkin Method","authors":"Shucheng Huang, Li Xu, Bingqi Liu, Zhonghai Yang, Bin Li","doi":"10.1109/APS/URSI47566.2021.9703771","DOIUrl":null,"url":null,"abstract":"In this paper, we designed a unified parallel DG framework. Based on the characteristics of DG discretization, we built a preprocessing part in the framework. Then designed different kernel functions to match different numerical problems, such as Maxwell's equation and Euler's equation. A speed-up of 160 has been achieved over an equivalent CPU code. Compared with CPU code, the computing efficiency has been greatly improved.","PeriodicalId":6801,"journal":{"name":"2021 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting (APS/URSI)","volume":"27 1","pages":"1891-1892"},"PeriodicalIF":0.0000,"publicationDate":"2021-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting (APS/URSI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/APS/URSI47566.2021.9703771","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
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Abstract
In this paper, we designed a unified parallel DG framework. Based on the characteristics of DG discretization, we built a preprocessing part in the framework. Then designed different kernel functions to match different numerical problems, such as Maxwell's equation and Euler's equation. A speed-up of 160 has been achieved over an equivalent CPU code. Compared with CPU code, the computing efficiency has been greatly improved.
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