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Titlebook: Sustained Simulation Performance 2019 and 2020; Proceedings of the J Michael M. Resch,Manuela Wossough,Hiroaki Kobayash Conference proceedi

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发表于 2025-3-21 17:12:41 | 显示全部楼层 |阅读模式
书目名称Sustained Simulation Performance 2019 and 2020
副标题Proceedings of the J
编辑Michael M. Resch,Manuela Wossough,Hiroaki Kobayash
视频video
图书封面Titlebook: Sustained Simulation Performance 2019 and 2020; Proceedings of the J Michael M. Resch,Manuela Wossough,Hiroaki Kobayash Conference proceedi
描述.This book presents the state of the art in High Performance Computing on modern supercomputer architectures. It addresses trends in hardware and software development in general. The contributions cover a broad range of topics, from performance evaluations in context with power efficiency to Computational Fluid Dynamics and High Performance Data Analytics. In addition, they explore new topics like the use of High Performance Computers in the field of Artificial Intelligence and Machine Learning. All contributions are based on selected papers presented at the 30th Workshop on Sustained Simulation Performance (WSSP) held at the High Performance Computing Center, University of Stuttgart, Germany in October 2019 and on the papers for the planned Workshop on Sustained Simulation Performance in March 2020, which could not take place due to the Covid-19 pandemic..
出版日期Conference proceedings 2021
关键词high performance computing; simulation and modeling; computational engineering; computational science; m
版次1
doihttps://doi.org/10.1007/978-3-030-68049-7
isbn_softcover978-3-030-68051-0
isbn_ebook978-3-030-68049-7
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
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978-3-030-68051-0The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
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https://doi.org/10.1007/978-3-030-68049-7high performance computing; simulation and modeling; computational engineering; computational science; m
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A Method for Stream Data Analysissearches on data stream analysis which employed rigorous and methodical approaches, especially deep learning. Besides, a new method for processing data stream based on the latest development of GAN is proposed. And finally the future work to be done is discussed.
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Conference proceedings 2021ware development in general. The contributions cover a broad range of topics, from performance evaluations in context with power efficiency to Computational Fluid Dynamics and High Performance Data Analytics. In addition, they explore new topics like the use of High Performance Computers in the fiel
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