Hybrid parallel framework for multiple-point geostatistics on Tianhe-2: A robust solution for large-scale simulation
Tài liệu tham khảo
Abdollahifard, 2019, Efficient training image selection for multiple-point geostatistics via analysis of contours, Comput. Geosci., 128, 41, 10.1016/j.cageo.2019.04.004
Arpat, 2007, Conditional simulation with patterns, Math. Geol., 39, 177, 10.1007/s11004-006-9075-3
Chen, 2020, CPU-MIC acceleration of multiple-point statistical simulation on Tianhe-2, 700
Chen, 2020, 3D stochastic modeling framework for Quaternary sediments using multiple-point statistics: a case study in Minjiang Estuary area, southeast China, Comput. Geosci., 136, 104404, 10.1016/j.cageo.2019.104404
Chen, 2019, Conditional multiple-point geostatistical simulation for unevenly distributed sample data, Stoch. Environ. Res. Risk Assess., 33, 973, 10.1007/s00477-019-01671-5
Chen, 2018, Locality-based 3-D multiple-point statistics reconstruction using 2-D geological cross sections, Hydrol. Earth Syst. Sci., 22, 6547, 10.5194/hess-22-6547-2018
Comunian, 2016, Hybrid inversion method to estimate hydraulic transmissivity by combining multiple-point statistics and a direct inversion method, Math. Geosci., 50, 147, 10.1007/s11004-018-9727-0
Cordua, 2012, Monte Carlo full-waveform inversion of crosshole GPR data using multiple-point geostatistical a priori information, Geophysics, 77, H19, 10.1190/geo2011-0170.1
Cui, 2021, Multiple-point geostatistical simulation based on conditional conduction probability, Stoch. Environ. Res. Risk Assess., 35, 1355, 10.1007/s00477-020-01944-4
Dimitrakopoulos, 2004, Generalized sequential Gaussian simulation on group size nu and screen-effect approximations for large field simulations, Math. Geol., 36, 567, 10.1023/B:MATG.0000037737.11615.df
Fan, 2020, A high-resolution summary of Cambrian to Early Triassic marine invertebrate biodiversity, Science, 367, 273, 10.1126/science.aax4953
Feng, 2019, A training image optimal selecting method based on composite correlation coefficient ranking for multiple-point geostatistics, J. Petrol. Sci. Eng., 179, 292, 10.1016/j.petrol.2019.04.046
Ge, 2011, Multiple-point simulation-based method for extraction of objects with spatial structure from remotely sensed imagery, Int. J. Rem. Sens., 32, 2311, 10.1080/01431161003698278
Guardiano, 1993, Multivariate geostatistics: beyond bivariate moments, 133
Gueting, 2018, Reconstruction of three-dimensional aquifer heterogeneity from two-dimensional geophysical data, Math. Geosci., 50, 53, 10.1007/s11004-017-9694-x
Heinecke, 2014, 3
Hermans, 2015, Uncertainty in training image-based inversion of hydraulic head data constrained to ERT data: workflow and case study, Water Resour. Res., 51, 5332, 10.1002/2014WR016460
Hoffimann, 2017, Stochastic simulation by image quilting of process-based geological models, Comput. Geosci., 106, 18, 10.1016/j.cageo.2017.05.012
Hou, 2021, Hierarchical MPS-based three-dimensional geological structure reconstruction with two-dimensional image(s), J. Earth Sci., 32, 455, 10.1007/s12583-021-1443-x
Huang, 2013, GPU-accelerated Direct Sampling method for multiple-point statistical simulation, Comput. Geosci., 57, 13, 10.1016/j.cageo.2013.03.020
Li, 2015, Two-point or multiple-point statistics? A comparison between the ensemble Kalman filtering and the ensemble pattern matching inverse methods, Adv. Water Resour., 86, 297, 10.1016/j.advwatres.2015.05.014
Linde, 2015, Geological realism in hydrogeological and geophysical inverse modeling: a review, Adv. Water Resour., 86, 86, 10.1016/j.advwatres.2015.09.019
Liu, 2019, High-performance time-series quantitative retrieval from satellite images on a GPU cluster, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 12, 2821, 10.1109/JSTARS.2019.2920077
Mahmud, 2018, Hydrological characterization of cave drip waters in a porous limestone: golgotha Cave, Western Australia, Hydrol. Earth Syst. Sci., 22, 977, 10.5194/hess-22-977-2018
Mariethoz, 2010, A general parallelization strategy for random path based geostatistical simulation methods, Comput. Geosci., 36, 953, 10.1016/j.cageo.2009.11.001
Mariethoz, 2014, Bridges between multiple-point geostatistics and texture synthesis: review and guidelines for future research, Comput. Geosci., 66, 66, 10.1016/j.cageo.2014.01.001
Mariethoz, 2010, The Direct Sampling method to perform multiple-point geostatistical simulations, Water Resour. Res., 46, W11563, 10.1029/2008WR007621
Ortiz, 2010, Multiple point geostatistical simulation with simulated annealing: implementation using speculative parallel computing, 16, 383
Owens, 2008, GPU computing, Proc. IEEE, 96, 879, 10.1109/JPROC.2008.917757
Peredo, 2014, Tuning and hybrid parallelization of a genetic-based multi-point statistics simulation code, Parallel Comput., 40, 144, 10.1016/j.parco.2014.04.005
Pirot, 2017, Using training images to build model ensembles with structural variability, Ground Water, 55, 656, 10.1111/gwat.12556
Pourfard, 2017, PCTO-SIM: multiple-point geostatistical modeling using parallel conditional texture optimization, Comput. Geosci., 102, 116, 10.1016/j.cageo.2016.12.012
Rasera, 2015, A conflict-free, path-level parallelization approach for sequential simulation algorithms, Comput. Geosci., 80, 49, 10.1016/j.cageo.2015.03.016
Renard, 2013, Connectivity metrics for subsurface flow and transport, Adv. Water Resour., 51, 168, 10.1016/j.advwatres.2011.12.001
Rezaee, 2013, Multiple-point geostatistical simulation using the bunch-pasting direct sampling method, Comput. Geosci., 54, 293, 10.1016/j.cageo.2013.01.020
Straubhaar, 2011, An improved parallel multiple-point algorithm using a list approach, Math. Geosci., 43, 305, 10.1007/s11004-011-9328-7
Strebelle, 2002, Conditional simulation of complex geological structures using multiple-point statistics, Math. Geol., 34, 1, 10.1023/A:1014009426274
Tahmasebi, 2012, Multiple-point geostatistical modeling based on the cross-correlation functions, Comput. Geosci., 16, 779, 10.1007/s10596-012-9287-1
Tahmasebi, 2012, Accelerating geostatistical simulations using graphics processing units, Comput. Geosci., 46, 51, 10.1016/j.cageo.2012.03.028
Tang, 2015, Downscaling remotely sensed imagery using area-to-point cokriging and multiple-point geostatistical simulation, ISPRS J. Photogrammetry Remote Sens., 101, 174, 10.1016/j.isprsjprs.2014.12.016
Wu, 2016, Accelerating the simulation of thermal convection in the earth's outer core on tianhe-2, 800
Xue, 2014, Enabling and scaling a global shallow-water atmospheric model on Tianhe-2
Xue, 2015, Ultra-scalable CPU-mic acceleration of mesoscale Atmospheric modeling on tianhe-2, IEEE Trans. Comput., 64, 2382, 10.1109/TC.2014.2366754
Yavits, 2014, The effect of communication and synchronization on Amdahl's law in multicore systems, Parallel Comput., 40, 1, 10.1016/j.parco.2013.11.001
Yang, 2016, GOSIM: a multi-scale iterative multiple-point statistics algorithm with global optimization, Comput. Geosci., 89, 57, 10.1016/j.cageo.2015.12.020
Zhang, 2016, Stochastic simulation of geological data using isometric mapping and multiple-point geostatistics with data incorporation, J. Appl. Geophys., 125, 10.1016/j.jappgeo.2015.12.005