Hybrid parallel framework for multiple-point geostatistics on Tianhe-2: A robust solution for large-scale simulation
Multiple-point geostatistical (MPS) simulation methods have attracted an enormous amount of attention in earth and environmental sciences due to their ability to enhance extraction and synthesis of heterogeneous patterns. To characterize the subtle features of heterogeneous structures and phenomena,...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Cui, Zhesi [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2021transfer abstract |
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| Schlagwörter: |
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| Übergeordnetes Werk: |
Enthalten in: Ultrafast acquirement of combined time and frequency spectroscopic data - 2012transfer abstract, an international journal devoted to the publication of papers on all aspects of geocomputation and to the distribution of computer programs and test data sets : an official journal of the International Association for Mathematical Geology, Amsterdam [u.a.] |
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| Übergeordnetes Werk: |
volume:157 ; year:2021 ; pages:0 |
| Links: |
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| DOI / URN: |
10.1016/j.cageo.2021.104923 |
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| 520 | |a Multiple-point geostatistical (MPS) simulation methods have attracted an enormous amount of attention in earth and environmental sciences due to their ability to enhance extraction and synthesis of heterogeneous patterns. To characterize the subtle features of heterogeneous structures and phenomena, large-scale and high-resolution simulations are often required. Accordingly, the size of simulation grids has increased dramatically. Since MPS is a sequential process for each grid unit along a simulation path, it results in severe computational consumption. In this work, a new hybrid parallel framework is proposed for the case of MPS simulation on large areas with enormous amount of grid cells. Both inter-node-level and intra-node-level parallel strategies are combined in this framework. To maintain the quality of the realizations, we implement a conflict control method adapting to the Monte-Carlo process. Also, an optimization method for the simulation information is embedded to reduce the inter-node communication overhead. A series of synthetic tests were used to verify the availability and performance of the proposed hybrid parallel framework. The results corroborate that the proposed framework can efficiently achieve the high-resolution reproduction and characterization of complex structures and phenomena in earth sciences. | ||
| 520 | |a Multiple-point geostatistical (MPS) simulation methods have attracted an enormous amount of attention in earth and environmental sciences due to their ability to enhance extraction and synthesis of heterogeneous patterns. To characterize the subtle features of heterogeneous structures and phenomena, large-scale and high-resolution simulations are often required. Accordingly, the size of simulation grids has increased dramatically. Since MPS is a sequential process for each grid unit along a simulation path, it results in severe computational consumption. In this work, a new hybrid parallel framework is proposed for the case of MPS simulation on large areas with enormous amount of grid cells. Both inter-node-level and intra-node-level parallel strategies are combined in this framework. To maintain the quality of the realizations, we implement a conflict control method adapting to the Monte-Carlo process. Also, an optimization method for the simulation information is embedded to reduce the inter-node communication overhead. A series of synthetic tests were used to verify the availability and performance of the proposed hybrid parallel framework. The results corroborate that the proposed framework can efficiently achieve the high-resolution reproduction and characterization of complex structures and phenomena in earth sciences. | ||
| 650 | 7 | |a Parallel computing |2 Elsevier | |
| 650 | 7 | |a Hybrid parallel strategy |2 Elsevier | |
| 650 | 7 | |a Tianhe-2 supercomputer |2 Elsevier | |
| 650 | 7 | |a Fine-grained parallel strategy |2 Elsevier | |
| 650 | 7 | |a Multiple-point geostatistics |2 Elsevier | |
| 700 | 1 | |a Chen, Qiyu |4 oth | |
| 700 | 1 | |a Liu, Gang |4 oth | |
| 700 | 1 | |a Mariethoz, Gregoire |4 oth | |
| 700 | 1 | |a Ma, Xiaogang |4 oth | |
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10.1016/j.cageo.2021.104923 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001546.pica (DE-627)ELV055534953 (ELSEVIER)S0098-3004(21)00213-2 DE-627 ger DE-627 rakwb eng 530 VZ 580 VZ AFRIKA DE-30 fid BIODIV DE-30 fid 42.38 bkl Cui, Zhesi verfasserin aut Hybrid parallel framework for multiple-point geostatistics on Tianhe-2: A robust solution for large-scale simulation 2021transfer abstract nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Multiple-point geostatistical (MPS) simulation methods have attracted an enormous amount of attention in earth and environmental sciences due to their ability to enhance extraction and synthesis of heterogeneous patterns. To characterize the subtle features of heterogeneous structures and phenomena, large-scale and high-resolution simulations are often required. Accordingly, the size of simulation grids has increased dramatically. Since MPS is a sequential process for each grid unit along a simulation path, it results in severe computational consumption. In this work, a new hybrid parallel framework is proposed for the case of MPS simulation on large areas with enormous amount of grid cells. Both inter-node-level and intra-node-level parallel strategies are combined in this framework. To maintain the quality of the realizations, we implement a conflict control method adapting to the Monte-Carlo process. Also, an optimization method for the simulation information is embedded to reduce the inter-node communication overhead. A series of synthetic tests were used to verify the availability and performance of the proposed hybrid parallel framework. The results corroborate that the proposed framework can efficiently achieve the high-resolution reproduction and characterization of complex structures and phenomena in earth sciences. Multiple-point geostatistical (MPS) simulation methods have attracted an enormous amount of attention in earth and environmental sciences due to their ability to enhance extraction and synthesis of heterogeneous patterns. To characterize the subtle features of heterogeneous structures and phenomena, large-scale and high-resolution simulations are often required. Accordingly, the size of simulation grids has increased dramatically. Since MPS is a sequential process for each grid unit along a simulation path, it results in severe computational consumption. In this work, a new hybrid parallel framework is proposed for the case of MPS simulation on large areas with enormous amount of grid cells. Both inter-node-level and intra-node-level parallel strategies are combined in this framework. To maintain the quality of the realizations, we implement a conflict control method adapting to the Monte-Carlo process. Also, an optimization method for the simulation information is embedded to reduce the inter-node communication overhead. A series of synthetic tests were used to verify the availability and performance of the proposed hybrid parallel framework. The results corroborate that the proposed framework can efficiently achieve the high-resolution reproduction and characterization of complex structures and phenomena in earth sciences. Parallel computing Elsevier Hybrid parallel strategy Elsevier Tianhe-2 supercomputer Elsevier Fine-grained parallel strategy Elsevier Multiple-point geostatistics Elsevier Chen, Qiyu oth Liu, Gang oth Mariethoz, Gregoire oth Ma, Xiaogang oth Enthalten in Elsevier Science Ultrafast acquirement of combined time and frequency spectroscopic data 2012transfer abstract an international journal devoted to the publication of papers on all aspects of geocomputation and to the distribution of computer programs and test data sets : an official journal of the International Association for Mathematical Geology Amsterdam [u.a.] (DE-627)ELV021566380 volume:157 year:2021 pages:0 https://doi.org/10.1016/j.cageo.2021.104923 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U FID-AFRIKA FID-BIODIV GBV_ILN_21 GBV_ILN_22 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_130 42.38 Botanik: Allgemeines VZ AR 157 2021 0 |
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10.1016/j.cageo.2021.104923 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001546.pica (DE-627)ELV055534953 (ELSEVIER)S0098-3004(21)00213-2 DE-627 ger DE-627 rakwb eng 530 VZ 580 VZ AFRIKA DE-30 fid BIODIV DE-30 fid 42.38 bkl Cui, Zhesi verfasserin aut Hybrid parallel framework for multiple-point geostatistics on Tianhe-2: A robust solution for large-scale simulation 2021transfer abstract nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Multiple-point geostatistical (MPS) simulation methods have attracted an enormous amount of attention in earth and environmental sciences due to their ability to enhance extraction and synthesis of heterogeneous patterns. To characterize the subtle features of heterogeneous structures and phenomena, large-scale and high-resolution simulations are often required. Accordingly, the size of simulation grids has increased dramatically. Since MPS is a sequential process for each grid unit along a simulation path, it results in severe computational consumption. In this work, a new hybrid parallel framework is proposed for the case of MPS simulation on large areas with enormous amount of grid cells. Both inter-node-level and intra-node-level parallel strategies are combined in this framework. To maintain the quality of the realizations, we implement a conflict control method adapting to the Monte-Carlo process. Also, an optimization method for the simulation information is embedded to reduce the inter-node communication overhead. A series of synthetic tests were used to verify the availability and performance of the proposed hybrid parallel framework. The results corroborate that the proposed framework can efficiently achieve the high-resolution reproduction and characterization of complex structures and phenomena in earth sciences. Multiple-point geostatistical (MPS) simulation methods have attracted an enormous amount of attention in earth and environmental sciences due to their ability to enhance extraction and synthesis of heterogeneous patterns. To characterize the subtle features of heterogeneous structures and phenomena, large-scale and high-resolution simulations are often required. Accordingly, the size of simulation grids has increased dramatically. Since MPS is a sequential process for each grid unit along a simulation path, it results in severe computational consumption. In this work, a new hybrid parallel framework is proposed for the case of MPS simulation on large areas with enormous amount of grid cells. Both inter-node-level and intra-node-level parallel strategies are combined in this framework. To maintain the quality of the realizations, we implement a conflict control method adapting to the Monte-Carlo process. Also, an optimization method for the simulation information is embedded to reduce the inter-node communication overhead. A series of synthetic tests were used to verify the availability and performance of the proposed hybrid parallel framework. The results corroborate that the proposed framework can efficiently achieve the high-resolution reproduction and characterization of complex structures and phenomena in earth sciences. Parallel computing Elsevier Hybrid parallel strategy Elsevier Tianhe-2 supercomputer Elsevier Fine-grained parallel strategy Elsevier Multiple-point geostatistics Elsevier Chen, Qiyu oth Liu, Gang oth Mariethoz, Gregoire oth Ma, Xiaogang oth Enthalten in Elsevier Science Ultrafast acquirement of combined time and frequency spectroscopic data 2012transfer abstract an international journal devoted to the publication of papers on all aspects of geocomputation and to the distribution of computer programs and test data sets : an official journal of the International Association for Mathematical Geology Amsterdam [u.a.] (DE-627)ELV021566380 volume:157 year:2021 pages:0 https://doi.org/10.1016/j.cageo.2021.104923 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U FID-AFRIKA FID-BIODIV GBV_ILN_21 GBV_ILN_22 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_130 42.38 Botanik: Allgemeines VZ AR 157 2021 0 |
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10.1016/j.cageo.2021.104923 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001546.pica (DE-627)ELV055534953 (ELSEVIER)S0098-3004(21)00213-2 DE-627 ger DE-627 rakwb eng 530 VZ 580 VZ AFRIKA DE-30 fid BIODIV DE-30 fid 42.38 bkl Cui, Zhesi verfasserin aut Hybrid parallel framework for multiple-point geostatistics on Tianhe-2: A robust solution for large-scale simulation 2021transfer abstract nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Multiple-point geostatistical (MPS) simulation methods have attracted an enormous amount of attention in earth and environmental sciences due to their ability to enhance extraction and synthesis of heterogeneous patterns. To characterize the subtle features of heterogeneous structures and phenomena, large-scale and high-resolution simulations are often required. Accordingly, the size of simulation grids has increased dramatically. Since MPS is a sequential process for each grid unit along a simulation path, it results in severe computational consumption. In this work, a new hybrid parallel framework is proposed for the case of MPS simulation on large areas with enormous amount of grid cells. Both inter-node-level and intra-node-level parallel strategies are combined in this framework. To maintain the quality of the realizations, we implement a conflict control method adapting to the Monte-Carlo process. Also, an optimization method for the simulation information is embedded to reduce the inter-node communication overhead. A series of synthetic tests were used to verify the availability and performance of the proposed hybrid parallel framework. The results corroborate that the proposed framework can efficiently achieve the high-resolution reproduction and characterization of complex structures and phenomena in earth sciences. Multiple-point geostatistical (MPS) simulation methods have attracted an enormous amount of attention in earth and environmental sciences due to their ability to enhance extraction and synthesis of heterogeneous patterns. To characterize the subtle features of heterogeneous structures and phenomena, large-scale and high-resolution simulations are often required. Accordingly, the size of simulation grids has increased dramatically. Since MPS is a sequential process for each grid unit along a simulation path, it results in severe computational consumption. In this work, a new hybrid parallel framework is proposed for the case of MPS simulation on large areas with enormous amount of grid cells. Both inter-node-level and intra-node-level parallel strategies are combined in this framework. To maintain the quality of the realizations, we implement a conflict control method adapting to the Monte-Carlo process. Also, an optimization method for the simulation information is embedded to reduce the inter-node communication overhead. A series of synthetic tests were used to verify the availability and performance of the proposed hybrid parallel framework. The results corroborate that the proposed framework can efficiently achieve the high-resolution reproduction and characterization of complex structures and phenomena in earth sciences. Parallel computing Elsevier Hybrid parallel strategy Elsevier Tianhe-2 supercomputer Elsevier Fine-grained parallel strategy Elsevier Multiple-point geostatistics Elsevier Chen, Qiyu oth Liu, Gang oth Mariethoz, Gregoire oth Ma, Xiaogang oth Enthalten in Elsevier Science Ultrafast acquirement of combined time and frequency spectroscopic data 2012transfer abstract an international journal devoted to the publication of papers on all aspects of geocomputation and to the distribution of computer programs and test data sets : an official journal of the International Association for Mathematical Geology Amsterdam [u.a.] (DE-627)ELV021566380 volume:157 year:2021 pages:0 https://doi.org/10.1016/j.cageo.2021.104923 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U FID-AFRIKA FID-BIODIV GBV_ILN_21 GBV_ILN_22 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_130 42.38 Botanik: Allgemeines VZ AR 157 2021 0 |
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10.1016/j.cageo.2021.104923 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001546.pica (DE-627)ELV055534953 (ELSEVIER)S0098-3004(21)00213-2 DE-627 ger DE-627 rakwb eng 530 VZ 580 VZ AFRIKA DE-30 fid BIODIV DE-30 fid 42.38 bkl Cui, Zhesi verfasserin aut Hybrid parallel framework for multiple-point geostatistics on Tianhe-2: A robust solution for large-scale simulation 2021transfer abstract nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Multiple-point geostatistical (MPS) simulation methods have attracted an enormous amount of attention in earth and environmental sciences due to their ability to enhance extraction and synthesis of heterogeneous patterns. To characterize the subtle features of heterogeneous structures and phenomena, large-scale and high-resolution simulations are often required. Accordingly, the size of simulation grids has increased dramatically. Since MPS is a sequential process for each grid unit along a simulation path, it results in severe computational consumption. In this work, a new hybrid parallel framework is proposed for the case of MPS simulation on large areas with enormous amount of grid cells. Both inter-node-level and intra-node-level parallel strategies are combined in this framework. To maintain the quality of the realizations, we implement a conflict control method adapting to the Monte-Carlo process. Also, an optimization method for the simulation information is embedded to reduce the inter-node communication overhead. A series of synthetic tests were used to verify the availability and performance of the proposed hybrid parallel framework. The results corroborate that the proposed framework can efficiently achieve the high-resolution reproduction and characterization of complex structures and phenomena in earth sciences. Multiple-point geostatistical (MPS) simulation methods have attracted an enormous amount of attention in earth and environmental sciences due to their ability to enhance extraction and synthesis of heterogeneous patterns. To characterize the subtle features of heterogeneous structures and phenomena, large-scale and high-resolution simulations are often required. Accordingly, the size of simulation grids has increased dramatically. Since MPS is a sequential process for each grid unit along a simulation path, it results in severe computational consumption. In this work, a new hybrid parallel framework is proposed for the case of MPS simulation on large areas with enormous amount of grid cells. Both inter-node-level and intra-node-level parallel strategies are combined in this framework. To maintain the quality of the realizations, we implement a conflict control method adapting to the Monte-Carlo process. Also, an optimization method for the simulation information is embedded to reduce the inter-node communication overhead. A series of synthetic tests were used to verify the availability and performance of the proposed hybrid parallel framework. The results corroborate that the proposed framework can efficiently achieve the high-resolution reproduction and characterization of complex structures and phenomena in earth sciences. Parallel computing Elsevier Hybrid parallel strategy Elsevier Tianhe-2 supercomputer Elsevier Fine-grained parallel strategy Elsevier Multiple-point geostatistics Elsevier Chen, Qiyu oth Liu, Gang oth Mariethoz, Gregoire oth Ma, Xiaogang oth Enthalten in Elsevier Science Ultrafast acquirement of combined time and frequency spectroscopic data 2012transfer abstract an international journal devoted to the publication of papers on all aspects of geocomputation and to the distribution of computer programs and test data sets : an official journal of the International Association for Mathematical Geology Amsterdam [u.a.] (DE-627)ELV021566380 volume:157 year:2021 pages:0 https://doi.org/10.1016/j.cageo.2021.104923 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U FID-AFRIKA FID-BIODIV GBV_ILN_21 GBV_ILN_22 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_130 42.38 Botanik: Allgemeines VZ AR 157 2021 0 |
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Hybrid parallel framework for multiple-point geostatistics on Tianhe-2: A robust solution for large-scale simulation |
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Multiple-point geostatistical (MPS) simulation methods have attracted an enormous amount of attention in earth and environmental sciences due to their ability to enhance extraction and synthesis of heterogeneous patterns. To characterize the subtle features of heterogeneous structures and phenomena, large-scale and high-resolution simulations are often required. Accordingly, the size of simulation grids has increased dramatically. Since MPS is a sequential process for each grid unit along a simulation path, it results in severe computational consumption. In this work, a new hybrid parallel framework is proposed for the case of MPS simulation on large areas with enormous amount of grid cells. Both inter-node-level and intra-node-level parallel strategies are combined in this framework. To maintain the quality of the realizations, we implement a conflict control method adapting to the Monte-Carlo process. Also, an optimization method for the simulation information is embedded to reduce the inter-node communication overhead. A series of synthetic tests were used to verify the availability and performance of the proposed hybrid parallel framework. The results corroborate that the proposed framework can efficiently achieve the high-resolution reproduction and characterization of complex structures and phenomena in earth sciences. |
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Multiple-point geostatistical (MPS) simulation methods have attracted an enormous amount of attention in earth and environmental sciences due to their ability to enhance extraction and synthesis of heterogeneous patterns. To characterize the subtle features of heterogeneous structures and phenomena, large-scale and high-resolution simulations are often required. Accordingly, the size of simulation grids has increased dramatically. Since MPS is a sequential process for each grid unit along a simulation path, it results in severe computational consumption. In this work, a new hybrid parallel framework is proposed for the case of MPS simulation on large areas with enormous amount of grid cells. Both inter-node-level and intra-node-level parallel strategies are combined in this framework. To maintain the quality of the realizations, we implement a conflict control method adapting to the Monte-Carlo process. Also, an optimization method for the simulation information is embedded to reduce the inter-node communication overhead. A series of synthetic tests were used to verify the availability and performance of the proposed hybrid parallel framework. The results corroborate that the proposed framework can efficiently achieve the high-resolution reproduction and characterization of complex structures and phenomena in earth sciences. |
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Multiple-point geostatistical (MPS) simulation methods have attracted an enormous amount of attention in earth and environmental sciences due to their ability to enhance extraction and synthesis of heterogeneous patterns. To characterize the subtle features of heterogeneous structures and phenomena, large-scale and high-resolution simulations are often required. Accordingly, the size of simulation grids has increased dramatically. Since MPS is a sequential process for each grid unit along a simulation path, it results in severe computational consumption. In this work, a new hybrid parallel framework is proposed for the case of MPS simulation on large areas with enormous amount of grid cells. Both inter-node-level and intra-node-level parallel strategies are combined in this framework. To maintain the quality of the realizations, we implement a conflict control method adapting to the Monte-Carlo process. Also, an optimization method for the simulation information is embedded to reduce the inter-node communication overhead. A series of synthetic tests were used to verify the availability and performance of the proposed hybrid parallel framework. The results corroborate that the proposed framework can efficiently achieve the high-resolution reproduction and characterization of complex structures and phenomena in earth sciences. |
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Hybrid parallel framework for multiple-point geostatistics on Tianhe-2: A robust solution for large-scale simulation |
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