Toward an automated parallel computing environment for geosciences

Zhang, Huai; Liu, Mian; Yuen, David A.; Yan, Zhaokun; Liang, Guoyuan

doi:10.1016/j.pepi.2007.05.008

Cited by 12 publications

(7 citation statements)

References 40 publications

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“…The software is developed by the Laboratory of Computational Geodynamics, Graduate University of Chinese Academy of Sciences [37] . We calculate the displacement, stress and strain produced by a dislocation in three-dimensional homogeneous elastic medium.…”

Section: Comparison Of Results Derived From Finite Element Model and mentioning

confidence: 99%

Dynamic simulation of interactions between major earthquakes on the Xianshuihe fault zone

Wang

Liu

Zhang

et al. 2008

Sci. China Ser. D-Earth Sci.

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The authors firstly evaluate the strain accumulation rate of the Xianshuihe fault zone based on earthquake activity. We calculated the stress and seismic moment accumulation rate for each subsection of the Xianshuihe fault zone based on the distribution of geological slip rate and GPS survey results. According to the results, we get the recurrence intervals of characterized earthquakes on each subsection respectively. A three-dimensional finite element model for western Sichuan is constructed to discuss the earthquakes triggering among major earthquakes (M>6.7) that occurred along the Xianshuihe fault zone since 1893. The calculated Coulomb failure stress changes (ΔCFS) show that 5 of the 6 earthquakes with Ms>6.7 were triggered by positive ΔCFS. The interactions between major earthquakes not only influence recurrence intervals of characterized earthquakes on each subsection, but also change recurrence behavior of major earthquakes along the whole fault zone.Xianshuihe fault zone, strain accumulation and releasing, recurrence interval, finite element method, Coulomb failure stress changes

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Section: Comparison Of Results Derived From Finite Element Model and mentioning

confidence: 99%

Dynamic simulation of interactions between major earthquakes on the Xianshuihe fault zone

Wang

Liu

Zhang

et al. 2008

Sci. China Ser. D-Earth Sci.

Self Cite

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“…Benjemaa et al 2007; Brossier et al 2008), the finite‐element method (FEM) (e.g. Bao et al 1998; Aagaard et al 2001; Zhang et al 2007), the spectral‐element method (SEM) (e.g. Seriani & Priolo 1994; Faccioli et al 1997; Komatitsch & Vilotte 1998; Komatitsch & Tromp 1999; Cohen 2002; Chaljub et al 2007), which is a high‐order FEM using orthogonal Chebyshev or Legendre polynomial as the basis function, and the discontinuous‐Galerkin method (DG) (Etienne et al 2010) and the arbitrary high‐order derivatives discontinuous‐Galerkin method (ADER‐DG) (Kaser & Dumbser 2006; Dumbser & Kaser 2006), which are also high‐order FEM but use numerical fluxes instead of the basis functions to connect elements.…”

Section: Introductionmentioning

confidence: 99%

Three-dimensional elastic wave numerical modelling in the presence of surface topography by a collocated-grid finite-difference method on curvilinear grids

Zhang

Zhang²,

Chen³

2012

Geophysical Journal International

163

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SUMMARY Surface topography has been considered a difficult task for seismic wave numerical modelling by the finite‐difference method (FDM) because the most popular staggered finite‐difference scheme requires a rectilinear grid. Even though there are numerous collocated grid schemes in other computational fields that could be used to solve the first‐order hyperbolic equations, the lack of a stable free‐surface boundary condition implementation for curvilinear grids also obstructs the adoption of curvilinear grids in seismic wave FDM modelling. In this study, we use generalized curvilinear grids that can fit the surface topography to discretize the computational domain and describe the implementation of a collocated grid finite‐difference scheme, a higher order MacCormack scheme, to solve the first‐order hyperbolic velocity‐stress equations on the curvilinear grid. To achieve a sufficiently accurate and stable free‐surface boundary condition implementation on the curvilinear grids, we propose the traction image method that antisymmetrically images the traction components instead of the stress components to the ghost points above the free surface. Since the velocity derivatives at the free surface are provided by the free‐surface condition, we use a compact scheme to compute the velocity derivatives near the free surface and avoid the use of velocity values on the ghost points. Numerical tests verify that using the curvilinear grid, the collocated finite‐difference scheme and the traction image technique can simulate seismic wave propagation in the presence of surface topography with sufficient accuracy.

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“…Computation and data intensive geoscience analytics are becoming prevalent. To improve scalability and performance, parallelization technologies are essential [ 29 ]. Traditionally, most parallel applications achieve fine grained parallelism using message passing infrastructures such as PVM [ 30 ] and MPI [ 31 ] executed on computer clusters, super computers, or grid infrastructures [ 32 ].…”

Section: Related Workmentioning

confidence: 99%

Enabling Big Geoscience Data Analytics with a Cloud-Based, MapReduce-Enabled and Service-Oriented Workflow Framework

Yang

Jin

et al. 2015

PLoS ONE

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Geoscience observations and model simulations are generating vast amounts of multi-dimensional data. Effectively analyzing these data are essential for geoscience studies. However, the tasks are challenging for geoscientists because processing the massive amount of data is both computing and data intensive in that data analytics requires complex procedures and multiple tools. To tackle these challenges, a scientific workflow framework is proposed for big geoscience data analytics. In this framework techniques are proposed by leveraging cloud computing, MapReduce, and Service Oriented Architecture (SOA). Specifically, HBase is adopted for storing and managing big geoscience data across distributed computers. MapReduce-based algorithm framework is developed to support parallel processing of geoscience data. And service-oriented workflow architecture is built for supporting on-demand complex data analytics in the cloud environment. A proof-of-concept prototype tests the performance of the framework. Results show that this innovative framework significantly improves the efficiency of big geoscience data analytics by reducing the data processing time as well as simplifying data analytical procedures for geoscientists.

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Toward an automated parallel computing environment for geosciences

Cited by 12 publications

References 40 publications

Dynamic simulation of interactions between major earthquakes on the Xianshuihe fault zone

Dynamic simulation of interactions between major earthquakes on the Xianshuihe fault zone

Three-dimensional elastic wave numerical modelling in the presence of surface topography by a collocated-grid finite-difference method on curvilinear grids

Enabling Big Geoscience Data Analytics with a Cloud-Based, MapReduce-Enabled and Service-Oriented Workflow Framework

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