{"title":"海报:在GPU上加速BLAST Hydro Code","authors":"Tingxing Dong, T. Kolev, R. Rieben, V. Dobrev","doi":"10.1109/SC.Companion.2012.172","DOIUrl":null,"url":null,"abstract":"The BLAST code implements a high-order numerical algorithm that solves the equations of compressible hydrodynamics using the Finite Element Method in a moving Lagrangian frame. BLAST is coded in C++ and parallelized by MPI. We accelerate the most computationally intensive parts (80%-95%) of BLAST on an NVIDIA GPU with the CUDA programming model. Several 2D and 3D problems were tested and a maximum speedup of 4.3x was delivered. Our results demonstrate the validity and capability of GPU computing.","PeriodicalId":6346,"journal":{"name":"2012 SC Companion: High Performance Computing, Networking Storage and Analysis","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2012-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Poster: Acceleration of the BLAST Hydro Code on GPU\",\"authors\":\"Tingxing Dong, T. Kolev, R. Rieben, V. Dobrev\",\"doi\":\"10.1109/SC.Companion.2012.172\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The BLAST code implements a high-order numerical algorithm that solves the equations of compressible hydrodynamics using the Finite Element Method in a moving Lagrangian frame. BLAST is coded in C++ and parallelized by MPI. We accelerate the most computationally intensive parts (80%-95%) of BLAST on an NVIDIA GPU with the CUDA programming model. Several 2D and 3D problems were tested and a maximum speedup of 4.3x was delivered. Our results demonstrate the validity and capability of GPU computing.\",\"PeriodicalId\":6346,\"journal\":{\"name\":\"2012 SC Companion: High Performance Computing, Networking Storage and Analysis\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-11-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2012 SC Companion: High Performance Computing, Networking Storage and Analysis\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SC.Companion.2012.172\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 SC Companion: High Performance Computing, Networking Storage and Analysis","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SC.Companion.2012.172","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Poster: Acceleration of the BLAST Hydro Code on GPU
The BLAST code implements a high-order numerical algorithm that solves the equations of compressible hydrodynamics using the Finite Element Method in a moving Lagrangian frame. BLAST is coded in C++ and parallelized by MPI. We accelerate the most computationally intensive parts (80%-95%) of BLAST on an NVIDIA GPU with the CUDA programming model. Several 2D and 3D problems were tested and a maximum speedup of 4.3x was delivered. Our results demonstrate the validity and capability of GPU computing.
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