{"title":"一种便携式并行有限元仿真系统","authors":"Y. Nie, Lei Wang, Weiwei Zhang","doi":"10.1145/1787275.1787308","DOIUrl":null,"url":null,"abstract":"In order to adapt various complex parallel environments, increase the utilization ratio of current software and hardware, as well as improve the overall parallel efficiency of parallel FEM, the Parallel Node-based Local Finite Element (PNLFE) System is presented. The PNLFE system separates the whole computing task to N unit tasks according to the number of mesh nodes N. For each mesh node, the unit task is to generate the corresponding local mesh, which meets conforming requirement, then compute the global stiffness matrix row of the node. After this is done, processors can immediately pre-process the stiffness matrix rows and obtain the numerical solution with the least communication compared with other known systems. Unit tasks are separated and small, thus the system is applicable to various parallel architectures.","PeriodicalId":151791,"journal":{"name":"Proceedings of the 7th ACM international conference on Computing frontiers","volume":"145 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-05-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A portable parallel finite element simulation system\",\"authors\":\"Y. Nie, Lei Wang, Weiwei Zhang\",\"doi\":\"10.1145/1787275.1787308\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In order to adapt various complex parallel environments, increase the utilization ratio of current software and hardware, as well as improve the overall parallel efficiency of parallel FEM, the Parallel Node-based Local Finite Element (PNLFE) System is presented. The PNLFE system separates the whole computing task to N unit tasks according to the number of mesh nodes N. For each mesh node, the unit task is to generate the corresponding local mesh, which meets conforming requirement, then compute the global stiffness matrix row of the node. After this is done, processors can immediately pre-process the stiffness matrix rows and obtain the numerical solution with the least communication compared with other known systems. Unit tasks are separated and small, thus the system is applicable to various parallel architectures.\",\"PeriodicalId\":151791,\"journal\":{\"name\":\"Proceedings of the 7th ACM international conference on Computing frontiers\",\"volume\":\"145 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-05-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 7th ACM international conference on Computing frontiers\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/1787275.1787308\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 7th ACM international conference on Computing frontiers","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/1787275.1787308","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A portable parallel finite element simulation system
In order to adapt various complex parallel environments, increase the utilization ratio of current software and hardware, as well as improve the overall parallel efficiency of parallel FEM, the Parallel Node-based Local Finite Element (PNLFE) System is presented. The PNLFE system separates the whole computing task to N unit tasks according to the number of mesh nodes N. For each mesh node, the unit task is to generate the corresponding local mesh, which meets conforming requirement, then compute the global stiffness matrix row of the node. After this is done, processors can immediately pre-process the stiffness matrix rows and obtain the numerical solution with the least communication compared with other known systems. Unit tasks are separated and small, thus the system is applicable to various parallel architectures.