GPU-based parallel computation for discontinuous deformation analysis (DDA) method and its application to modelling earthquake-induced landslide
Graphic Processing Unit (GPU), as a computing device, has upgraded from single-subject graphical processors to multi-core processors with tremendous computational horsepower. This paper proposes to accelerate the DDA using parallel Jacobi Preconditioned Conjugate Gradient (JPCG) technique on GPUs. B...
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| Vydané v: | Computers and geotechnics Ročník 86; s. 80 - 94 |
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| Hlavní autori: | , , |
| Médium: | Journal Article |
| Jazyk: | English |
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New York
Elsevier Ltd
01.06.2017
Elsevier BV |
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| ISSN: | 0266-352X, 1873-7633 |
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| Abstract | Graphic Processing Unit (GPU), as a computing device, has upgraded from single-subject graphical processors to multi-core processors with tremendous computational horsepower. This paper proposes to accelerate the DDA using parallel Jacobi Preconditioned Conjugate Gradient (JPCG) technique on GPUs. Based on the results of two numerical examples, the calculation accuracies of the DDA with serial and parallel solvers are validated, and we found that the DDA with parallel solvers exhibits a much higher execution efficiency. The movement process of Daguangbao landslide triggered by the Wenchuan earthquake is replicated and the modeled deposit pattern coincides well with the actual topography after earthquake. |
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| AbstractList | Graphic Processing Unit (GPU), as a computing device, has upgraded from single-subject graphical processors to multi-core processors with tremendous computational horsepower. This paper proposes to accelerate the DDA using parallel Jacobi Preconditioned Conjugate Gradient (JPCG) technique on GPUs. Based on the results of two numerical examples, the calculation accuracies of the DDA with serial and parallel solvers are validated, and we found that the DDA with parallel solvers exhibits a much higher execution efficiency. The movement process of Daguangbao landslide triggered by the Wenchuan earthquake is replicated and the modeled deposit pattern coincides well with the actual topography after earthquake. |
| Author | Huang, Da Zeng, Bin Song, Yixiang |
| Author_xml | – sequence: 1 givenname: Yixiang surname: Song fullname: Song, Yixiang organization: Key Laboratory of New Technology for Construction of Cities in Mountain Area (Chongqing University), Ministry of Education, Chongqing 400045, China – sequence: 2 givenname: Da surname: Huang fullname: Huang, Da email: hdcqy@126.com organization: Key Laboratory of New Technology for Construction of Cities in Mountain Area (Chongqing University), Ministry of Education, Chongqing 400045, China – sequence: 3 givenname: Bin surname: Zeng fullname: Zeng, Bin organization: Key Laboratory of New Technology for Construction of Cities in Mountain Area (Chongqing University), Ministry of Education, Chongqing 400045, China |
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| Keywords | DDA Daguangbao landslide GPU Jacobi Preconditioned Conjugate Gradient |
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| SubjectTerms | Computation Computer applications Computer peripherals Daguangbao landslide DDA Deformation Deformation analysis Earthquakes GPU Graphics processing units Horsepower Jacobi Preconditioned Conjugate Gradient Landslides Landslides & mudslides Mathematical models Microprocessors Modelling Parallel processing Processors Seismic activity Seismic engineering Seismic response Solvers Topography Topography (geology) |
| Title | GPU-based parallel computation for discontinuous deformation analysis (DDA) method and its application to modelling earthquake-induced landslide |
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