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
Hlavní autori:	Song, Yixiang, Huang, Da, Zeng, Bin
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York Elsevier Ltd 01.06.2017 Elsevier BV
Predmet:	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) China DDA Daguangbao landslide GPU Jacobi Preconditioned Conjugate Gradient
ISSN:	0266-352X, 1873-7633
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