{"title":"多尺度环境模拟中并行流体求解器的通信方案","authors":"J. Frisch, R. Mundani, E. Rank","doi":"10.1109/SYNASC.2011.7","DOIUrl":null,"url":null,"abstract":"A lot of different environmental simulations use computational fluid dynamics for detailed airflow computation and pollution transportation. Unfortunately, a multi-scale computational fluid dynamics simulation is very time consuming and computational intensive, as a high geometric discretisation has to be chosen in order to capture all required physical phenomena, so that without any parallelisation strategies, these computations tend to be impossible to perform. In this paper, we will discuss communication schemes using the message passing paradigm implemented in a previously validated fluid simulation code. Advantages and disadvantages of the current implementation will be discussed and improvements will be proposed.","PeriodicalId":184344,"journal":{"name":"2011 13th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing","volume":"67 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"10","resultStr":"{\"title\":\"Communication Schemes of a Parallel Fluid Solver for Multi-scale Environmental Simulations\",\"authors\":\"J. Frisch, R. Mundani, E. Rank\",\"doi\":\"10.1109/SYNASC.2011.7\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A lot of different environmental simulations use computational fluid dynamics for detailed airflow computation and pollution transportation. Unfortunately, a multi-scale computational fluid dynamics simulation is very time consuming and computational intensive, as a high geometric discretisation has to be chosen in order to capture all required physical phenomena, so that without any parallelisation strategies, these computations tend to be impossible to perform. In this paper, we will discuss communication schemes using the message passing paradigm implemented in a previously validated fluid simulation code. Advantages and disadvantages of the current implementation will be discussed and improvements will be proposed.\",\"PeriodicalId\":184344,\"journal\":{\"name\":\"2011 13th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing\",\"volume\":\"67 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-09-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"10\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2011 13th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SYNASC.2011.7\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 13th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SYNASC.2011.7","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Communication Schemes of a Parallel Fluid Solver for Multi-scale Environmental Simulations
A lot of different environmental simulations use computational fluid dynamics for detailed airflow computation and pollution transportation. Unfortunately, a multi-scale computational fluid dynamics simulation is very time consuming and computational intensive, as a high geometric discretisation has to be chosen in order to capture all required physical phenomena, so that without any parallelisation strategies, these computations tend to be impossible to perform. In this paper, we will discuss communication schemes using the message passing paradigm implemented in a previously validated fluid simulation code. Advantages and disadvantages of the current implementation will be discussed and improvements will be proposed.