{"title":"地下水流动模拟在多gpu上的并行化","authors":"Ho-Sung Sun, Xiaohui Ji, Xu-sheng Wang","doi":"10.1145/3318265.3318271","DOIUrl":null,"url":null,"abstract":"GPU has been applied in groundwater flow simulation. In order to improve the performance of the GPU groundwater simulation further, this paper studied the method of parallelizing three-dimensional groundwater flow simulation on multiple GPUs. The most time-consuming part in the groundwater flow simulation, solving equations, is parallelized on multiple GPUs. The PCG solver is parallelized to solve equations. To maximize the communication efficiency of the parallelized PCG, optimizations that reduce the unnecessary data communication and overlap the communication with calculation were used. Experimental tests using 6 NVIDIA K40m GPUs show that the maximum speedup of the PCG solver and the groundwater flow simulation is up to 36.3 and 11 respectively for a steady-state simulation.","PeriodicalId":241692,"journal":{"name":"Proceedings of the 3rd International Conference on High Performance Compilation, Computing and Communications","volume":"29 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-03-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Parallelization of groundwater flow simulation on multiple GPUs\",\"authors\":\"Ho-Sung Sun, Xiaohui Ji, Xu-sheng Wang\",\"doi\":\"10.1145/3318265.3318271\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"GPU has been applied in groundwater flow simulation. In order to improve the performance of the GPU groundwater simulation further, this paper studied the method of parallelizing three-dimensional groundwater flow simulation on multiple GPUs. The most time-consuming part in the groundwater flow simulation, solving equations, is parallelized on multiple GPUs. The PCG solver is parallelized to solve equations. To maximize the communication efficiency of the parallelized PCG, optimizations that reduce the unnecessary data communication and overlap the communication with calculation were used. Experimental tests using 6 NVIDIA K40m GPUs show that the maximum speedup of the PCG solver and the groundwater flow simulation is up to 36.3 and 11 respectively for a steady-state simulation.\",\"PeriodicalId\":241692,\"journal\":{\"name\":\"Proceedings of the 3rd International Conference on High Performance Compilation, Computing and Communications\",\"volume\":\"29 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-03-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 3rd International Conference on High Performance Compilation, Computing and Communications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3318265.3318271\",\"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 3rd International Conference on High Performance Compilation, Computing and Communications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3318265.3318271","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Parallelization of groundwater flow simulation on multiple GPUs
GPU has been applied in groundwater flow simulation. In order to improve the performance of the GPU groundwater simulation further, this paper studied the method of parallelizing three-dimensional groundwater flow simulation on multiple GPUs. The most time-consuming part in the groundwater flow simulation, solving equations, is parallelized on multiple GPUs. The PCG solver is parallelized to solve equations. To maximize the communication efficiency of the parallelized PCG, optimizations that reduce the unnecessary data communication and overlap the communication with calculation were used. Experimental tests using 6 NVIDIA K40m GPUs show that the maximum speedup of the PCG solver and the groundwater flow simulation is up to 36.3 and 11 respectively for a steady-state simulation.