在天河三号原型E级超级计算机上利用4D-LSM对地下岩洞室三维爆破波传播进行了高性能计算

Meng Fu, Gaofeng Zhao
{"title":"在天河三号原型E级超级计算机上利用4D-LSM对地下岩洞室三维爆破波传播进行了高性能计算","authors":"Meng Fu,&nbsp;Gaofeng Zhao","doi":"10.1002/dug2.12015","DOIUrl":null,"url":null,"abstract":"<p>Parallel computing assigns the computing model to different processors on different devices and implements it simultaneously. Accordingly, it has broad applications in the numerical simulation of geotechnical engineering and underground engineering, of which models are always large-scale. With parallel computing, the computing time or the memory requirements will be reduced by splitting the original domain of the numerical model into many subdomains, which is thus named as the domain decomposition method. In this study, a cubic and equal volume domain decomposition strategy was utilized to realize the parallel computing on the distributed memory system of four-dimensional lattice spring model (4D-LSM) based on the message passing interface. With a more efficient communication strategy introduced, this study aimed at operating an one-billion-particle model on a supercomputer platform. The preprocessing procedure of the parallelized 4D-LSM was restructured and the particle generation strategy suitable for the supercomputer platform was employed to minimize the time consumption in preprocessing and calculation. On this basis, numerical calculations were performed on TianHe-3 prototype E class supercomputer at the National Supercomputer Center in Tianjin. Two field-scale three-dimensional blasting wave propagation models were carried out, of which the numerical results verify the computing power and the advantage of the parallelized 4D-LSM in the simulation of large-scale three-dimension models. Subsequently, the time complexity and spatial complexity of 4D-LSM and other particle discrete element methods were analyzed.</p>","PeriodicalId":100363,"journal":{"name":"Deep Underground Science and Engineering","volume":"1 1","pages":"87-100"},"PeriodicalIF":0.0000,"publicationDate":"2022-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/dug2.12015","citationCount":"2","resultStr":"{\"title\":\"High-performance computing of 3D blasting wave propagation in underground rock cavern by using 4D-LSM on TianHe-3 prototype E class supercomputer\",\"authors\":\"Meng Fu,&nbsp;Gaofeng Zhao\",\"doi\":\"10.1002/dug2.12015\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>Parallel computing assigns the computing model to different processors on different devices and implements it simultaneously. Accordingly, it has broad applications in the numerical simulation of geotechnical engineering and underground engineering, of which models are always large-scale. With parallel computing, the computing time or the memory requirements will be reduced by splitting the original domain of the numerical model into many subdomains, which is thus named as the domain decomposition method. In this study, a cubic and equal volume domain decomposition strategy was utilized to realize the parallel computing on the distributed memory system of four-dimensional lattice spring model (4D-LSM) based on the message passing interface. With a more efficient communication strategy introduced, this study aimed at operating an one-billion-particle model on a supercomputer platform. The preprocessing procedure of the parallelized 4D-LSM was restructured and the particle generation strategy suitable for the supercomputer platform was employed to minimize the time consumption in preprocessing and calculation. On this basis, numerical calculations were performed on TianHe-3 prototype E class supercomputer at the National Supercomputer Center in Tianjin. Two field-scale three-dimensional blasting wave propagation models were carried out, of which the numerical results verify the computing power and the advantage of the parallelized 4D-LSM in the simulation of large-scale three-dimension models. Subsequently, the time complexity and spatial complexity of 4D-LSM and other particle discrete element methods were analyzed.</p>\",\"PeriodicalId\":100363,\"journal\":{\"name\":\"Deep Underground Science and Engineering\",\"volume\":\"1 1\",\"pages\":\"87-100\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-09-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://onlinelibrary.wiley.com/doi/epdf/10.1002/dug2.12015\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Deep Underground Science and Engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://onlinelibrary.wiley.com/doi/10.1002/dug2.12015\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Deep Underground Science and Engineering","FirstCategoryId":"1085","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/dug2.12015","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2

摘要

并行计算将计算模型分配给不同设备上的不同处理器并同时实现。因此,它在岩土工程和地下工程的数值模拟中有着广泛的应用,这些工程的模型往往是大尺度的。在并行计算中,通过将数值模型的原始域划分为许多子域来减少计算时间或内存需求,因此称为域分解方法。本文采用三次等体积域分解策略,实现了基于消息传递接口的四维格子弹簧模型(4D-LSM)分布式存储系统的并行计算。随着一种更有效的通信策略的引入,这项研究旨在在超级计算机平台上运行一个10亿粒子模型。重构了并行化4D-LSM的预处理流程,采用了适合超级计算机平台的粒子生成策略,最大限度地减少了预处理和计算时间。在此基础上,在天津国家超级计算机中心的天河三号原型E级超级计算机上进行了数值计算。建立了两个现场尺度三维爆破波传播模型,数值结果验证了并行化4D-LSM在大尺度三维模型模拟中的计算能力和优势。随后,分析了4D-LSM和其他粒子离散元方法的时间复杂度和空间复杂度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

High-performance computing of 3D blasting wave propagation in underground rock cavern by using 4D-LSM on TianHe-3 prototype E class supercomputer

High-performance computing of 3D blasting wave propagation in underground rock cavern by using 4D-LSM on TianHe-3 prototype E class supercomputer

Parallel computing assigns the computing model to different processors on different devices and implements it simultaneously. Accordingly, it has broad applications in the numerical simulation of geotechnical engineering and underground engineering, of which models are always large-scale. With parallel computing, the computing time or the memory requirements will be reduced by splitting the original domain of the numerical model into many subdomains, which is thus named as the domain decomposition method. In this study, a cubic and equal volume domain decomposition strategy was utilized to realize the parallel computing on the distributed memory system of four-dimensional lattice spring model (4D-LSM) based on the message passing interface. With a more efficient communication strategy introduced, this study aimed at operating an one-billion-particle model on a supercomputer platform. The preprocessing procedure of the parallelized 4D-LSM was restructured and the particle generation strategy suitable for the supercomputer platform was employed to minimize the time consumption in preprocessing and calculation. On this basis, numerical calculations were performed on TianHe-3 prototype E class supercomputer at the National Supercomputer Center in Tianjin. Two field-scale three-dimensional blasting wave propagation models were carried out, of which the numerical results verify the computing power and the advantage of the parallelized 4D-LSM in the simulation of large-scale three-dimension models. Subsequently, the time complexity and spatial complexity of 4D-LSM and other particle discrete element methods were analyzed.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
CiteScore
2.20
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信