Two-dimensional partition space scheme.
<div><p>Early warning of geological hazards requires monitoring extreme weather conditions, such as heavy rainfall. Atmospheric circulation models are used for weather forecasting and climate simulation. As a critical physical process in atmospheric circulation models, the Zhang-McFarlan...
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| المؤلف الرئيسي: | |
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| مؤلفون آخرون: | , , , , , |
| منشور في: |
2024
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| الموضوعات: | |
| الوسوم: |
إضافة وسم
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| _version_ | 1852024072337096704 |
|---|---|
| author | Yongfei Wang (608480) |
| author2 | Junping Wang (397708) Jiarui Tian (9081026) Lin Li (28817) Fangping Ma (20485137) Fang Peng (327071) Hu Ke (481771) |
| author2_role | author author author author author author |
| author_facet | Yongfei Wang (608480) Junping Wang (397708) Jiarui Tian (9081026) Lin Li (28817) Fangping Ma (20485137) Fang Peng (327071) Hu Ke (481771) |
| author_role | author |
| dc.creator.none.fl_str_mv | Yongfei Wang (608480) Junping Wang (397708) Jiarui Tian (9081026) Lin Li (28817) Fangping Ma (20485137) Fang Peng (327071) Hu Ke (481771) |
| dc.date.none.fl_str_mv | 2024-12-30T18:23:52Z |
| dc.identifier.none.fl_str_mv | 10.1371/journal.pone.0314606.g004 |
| dc.relation.none.fl_str_mv | https://figshare.com/articles/figure/Two-dimensional_partition_space_scheme_/28108395 |
| dc.rights.none.fl_str_mv | CC BY 4.0 info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | Biophysics Space Science Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Information Systems not elsewhere classified significant acceleration effect overall operational efficiency experimental results demonstrate cuda streaming technology critical physical process 1 &# 215 proposed algorithm achieves atmospheric circulation models scale acceleration algorithms based acceleration algorithm gpu </ p proposed algorithms climate models weather forecasting single kunpeng significantly impact paper proposes openmp version heavy rainfall great significance dual socket core cpus computation characteristics climate simulation |
| dc.title.none.fl_str_mv | Two-dimensional partition space scheme. |
| dc.type.none.fl_str_mv | Image Figure info:eu-repo/semantics/publishedVersion image |
| description | <div><p>Early warning of geological hazards requires monitoring extreme weather conditions, such as heavy rainfall. Atmospheric circulation models are used for weather forecasting and climate simulation. As a critical physical process in atmospheric circulation models, the Zhang-McFarlane (ZM) deep convective physical parameterization scheme involves computationally intensive calculations that significantly impact the overall operational efficiency of the model. However, many of these calculations are independent and can be computed in parallel. Therefore, this paper proposes a GPU-based acceleration algorithm for the ZM scheme. Based on the computation characteristics of the ZM scheme, we propose its one-demensional and two-demensional acceleration algorithms based on GPU. These algorithms are implemented using CUDA C and compared against a single Kunpeng-920 (Dual Socket) CPU core and the OpenMP version on multi-core CPUs. In the absence of I/O transmission, the proposed algorithm achieves a speedup of 413.6×. Experimental results demonstrate the significant acceleration effect of the proposed algorithms and methods. It is of great significance for the development of deep convective parameterization schemes and their further generalization in climate models. Additionally, we propose a performance optimization method utilizing the CUDA streaming technology to improve data transmission efficiency between CPU and GPU. In the presence of I/O transmission, the proposed algorithm achieves a speedup of 350.1× on A100 GPU.</p></div> |
| eu_rights_str_mv | openAccess |
| id | Manara_08cd3e4f727212b785abea68fdbd9b3f |
| identifier_str_mv | 10.1371/journal.pone.0314606.g004 |
| network_acronym_str | Manara |
| network_name_str | ManaraRepo |
| oai_identifier_str | oai:figshare.com:article/28108395 |
| publishDate | 2024 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| rights_invalid_str_mv | CC BY 4.0 |
| spelling | Two-dimensional partition space scheme.Yongfei Wang (608480)Junping Wang (397708)Jiarui Tian (9081026)Lin Li (28817)Fangping Ma (20485137)Fang Peng (327071)Hu Ke (481771)BiophysicsSpace ScienceBiological Sciences not elsewhere classifiedMathematical Sciences not elsewhere classifiedInformation Systems not elsewhere classifiedsignificant acceleration effectoverall operational efficiencyexperimental results demonstratecuda streaming technologycritical physical process1 &# 215proposed algorithm achievesatmospheric circulation modelsscale acceleration algorithmsbased acceleration algorithmgpu </ pproposed algorithmsclimate modelsweather forecastingsingle kunpengsignificantly impactpaper proposesopenmp versionheavy rainfallgreat significancedual socketcore cpuscomputation characteristicsclimate simulation<div><p>Early warning of geological hazards requires monitoring extreme weather conditions, such as heavy rainfall. Atmospheric circulation models are used for weather forecasting and climate simulation. As a critical physical process in atmospheric circulation models, the Zhang-McFarlane (ZM) deep convective physical parameterization scheme involves computationally intensive calculations that significantly impact the overall operational efficiency of the model. However, many of these calculations are independent and can be computed in parallel. Therefore, this paper proposes a GPU-based acceleration algorithm for the ZM scheme. Based on the computation characteristics of the ZM scheme, we propose its one-demensional and two-demensional acceleration algorithms based on GPU. These algorithms are implemented using CUDA C and compared against a single Kunpeng-920 (Dual Socket) CPU core and the OpenMP version on multi-core CPUs. In the absence of I/O transmission, the proposed algorithm achieves a speedup of 413.6×. Experimental results demonstrate the significant acceleration effect of the proposed algorithms and methods. It is of great significance for the development of deep convective parameterization schemes and their further generalization in climate models. Additionally, we propose a performance optimization method utilizing the CUDA streaming technology to improve data transmission efficiency between CPU and GPU. In the presence of I/O transmission, the proposed algorithm achieves a speedup of 350.1× on A100 GPU.</p></div>2024-12-30T18:23:52ZImageFigureinfo:eu-repo/semantics/publishedVersionimage10.1371/journal.pone.0314606.g004https://figshare.com/articles/figure/Two-dimensional_partition_space_scheme_/28108395CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/281083952024-12-30T18:23:52Z |
| spellingShingle | Two-dimensional partition space scheme. Yongfei Wang (608480) Biophysics Space Science Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Information Systems not elsewhere classified significant acceleration effect overall operational efficiency experimental results demonstrate cuda streaming technology critical physical process 1 &# 215 proposed algorithm achieves atmospheric circulation models scale acceleration algorithms based acceleration algorithm gpu </ p proposed algorithms climate models weather forecasting single kunpeng significantly impact paper proposes openmp version heavy rainfall great significance dual socket core cpus computation characteristics climate simulation |
| status_str | publishedVersion |
| title | Two-dimensional partition space scheme. |
| title_full | Two-dimensional partition space scheme. |
| title_fullStr | Two-dimensional partition space scheme. |
| title_full_unstemmed | Two-dimensional partition space scheme. |
| title_short | Two-dimensional partition space scheme. |
| title_sort | Two-dimensional partition space scheme. |
| topic | Biophysics Space Science Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Information Systems not elsewhere classified significant acceleration effect overall operational efficiency experimental results demonstrate cuda streaming technology critical physical process 1 &# 215 proposed algorithm achieves atmospheric circulation models scale acceleration algorithms based acceleration algorithm gpu </ p proposed algorithms climate models weather forecasting single kunpeng significantly impact paper proposes openmp version heavy rainfall great significance dual socket core cpus computation characteristics climate simulation |