Parallel optimization techniques for ultra-large scale refined numerical simulations on Chinese supercomputers
The ultra-large scale refined numerical simulation based on supercomputers is the key to promoting the development of scientific and engineering computing and other application fields. The new generation of exascale heterogeneous supercomputer in China provide strong computing power support for ultr...
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| Vydáno v: | Cluster computing Ročník 28; číslo 8; s. 544 |
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| Hlavní autoři: | , , |
| Médium: | Journal Article |
| Jazyk: | angličtina |
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New York
Springer US
01.09.2025
Springer Nature B.V |
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| ISSN: | 1386-7857, 1573-7543 |
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| Abstract | The ultra-large scale refined numerical simulation based on supercomputers is the key to promoting the development of scientific and engineering computing and other application fields. The new generation of exascale heterogeneous supercomputer in China provide strong computing power support for ultra-large scale refined numerical simulation. Parallel optimization can significantly improve numerical simulation efficiency. However, limited by the complexity of the different Chinese supercomputer architectures and heterogeneous multi-layer characteristics, the parallel optimization of numerical simulation faces technical challenges. Therefore, this paper reviews the development trend of supercomputers in China, and analyzes the common optimization direction of ultra-large scale refined numerical simulation. This paper also illustrates the challenges faced by parallel optimization technology by combing the architectural characteristics of the mainstream supercomputers in China. Finally, four key numerical simulation parallel optimization technologies are summarized. The above parallel optimization technologies and the future development trend of Chinese supercomputers are summarized and prospected. |
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| AbstractList | The ultra-large scale refined numerical simulation based on supercomputers is the key to promoting the development of scientific and engineering computing and other application fields. The new generation of exascale heterogeneous supercomputer in China provide strong computing power support for ultra-large scale refined numerical simulation. Parallel optimization can significantly improve numerical simulation efficiency. However, limited by the complexity of the different Chinese supercomputer architectures and heterogeneous multi-layer characteristics, the parallel optimization of numerical simulation faces technical challenges. Therefore, this paper reviews the development trend of supercomputers in China, and analyzes the common optimization direction of ultra-large scale refined numerical simulation. This paper also illustrates the challenges faced by parallel optimization technology by combing the architectural characteristics of the mainstream supercomputers in China. Finally, four key numerical simulation parallel optimization technologies are summarized. The above parallel optimization technologies and the future development trend of Chinese supercomputers are summarized and prospected. |
| ArticleNumber | 544 |
| Author | Li, Jianjiang Chen, Jinshou Yao, Wenxuan |
| Author_xml | – sequence: 1 givenname: Jinshou surname: Chen fullname: Chen, Jinshou organization: Department of Computer Science and Technology, University of Science and Technology Beijing – sequence: 2 givenname: Wenxuan surname: Yao fullname: Yao, Wenxuan organization: Department of Computer Science and Technology, University of Science and Technology Beijing – sequence: 3 givenname: Jianjiang surname: Li fullname: Li, Jianjiang email: lijianjiang@ustb.edu.cn organization: Department of Computer Science and Technology, University of Science and Technology Beijing |
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| Title | Parallel optimization techniques for ultra-large scale refined numerical simulations on Chinese supercomputers |
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