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Titlebook: Supercomputing; 9th Russian Supercom Vladimir Voevodin,Sergey Sobolev,Rashit Shagaliev Conference proceedings 2023 The Editor(s) (if applic

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发表于 2025-3-21 17:15:52 | 显示全部楼层 |阅读模式
书目名称Supercomputing
副标题9th Russian Supercom
编辑Vladimir Voevodin,Sergey Sobolev,Rashit Shagaliev
视频video
丛书名称Lecture Notes in Computer Science
图书封面Titlebook: Supercomputing; 9th Russian Supercom Vladimir Voevodin,Sergey Sobolev,Rashit Shagaliev Conference proceedings 2023 The Editor(s) (if applic
描述.The two-volume set LNCS 14388 and 14389 constitutes the refereed proceedings of the 9th Russian Supercomputing Days International Conference (RuSCDays 2023) held in Moscow, Russia, during September 25-26, 2023..The 44 full papers and 1 short paper presented in these proceedings were carefully reviewed and selected from 104 submissions. The papers have been organized in the following topical sections: supercomputer simulation; distributed computing; and HPC, BigData, AI: algorithms, technologies, evaluation..
出版日期Conference proceedings 2023
关键词supercomputer; supercomputing technologies; high performance computing; HPC; parallel programming; exasca
版次1
doihttps://doi.org/10.1007/978-3-031-49432-1
isbn_softcover978-3-031-49431-4
isbn_ebook978-3-031-49432-1Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
The information of publication is updating

书目名称Supercomputing影响因子(影响力)




书目名称Supercomputing影响因子(影响力)学科排名




书目名称Supercomputing网络公开度




书目名称Supercomputing网络公开度学科排名




书目名称Supercomputing被引频次




书目名称Supercomputing被引频次学科排名




书目名称Supercomputing年度引用




书目名称Supercomputing年度引用学科排名




书目名称Supercomputing读者反馈




书目名称Supercomputing读者反馈学科排名




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发表于 2025-3-21 22:00:02 | 显示全部楼层
https://doi.org/10.1007/978-3-031-49432-1supercomputer; supercomputing technologies; high performance computing; HPC; parallel programming; exasca
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978-3-031-49431-4The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
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Scalability of the INM RAS Earth System Modelal components, a custom software toolkit is used. The results of the study made it possible to identify the optimal parallel configurations of the model and therefore accelerate the computations without significant redesign of the program code.
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Dmitry Zheltkov,Nikolai Zamarashkin,Sergey Matveev
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Rodion Stepanov,Soumyadeep Chatterjee,Manthan Verma,Mahendra Verma
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Kamila Koledina,Irek M. Gubaydullin,Sergey Koledin
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