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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Veröffentlicht in:	Computers and geotechnics Jg. 86; S. 80 - 94
Hauptverfasser:	Song, Yixiang, Huang, Da, Zeng, Bin
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York Elsevier Ltd 01.06.2017 Elsevier BV
Schlagworte:	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
Online-Zugang:	Volltext
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