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Titlebook: High-Performance Computing Applications in Numerical Simulation and Edge Computing; ACM ICS 2018 Interna Changjun Hu,Wen Yang,Dong Dai Conf

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發(fā)表于 2025-3-21 18:54:02 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書(shū)目名稱(chēng)High-Performance Computing Applications in Numerical Simulation and Edge Computing
副標(biāo)題ACM ICS 2018 Interna
編輯Changjun Hu,Wen Yang,Dong Dai
視頻videohttp://file.papertrans.cn/427/426648/426648.mp4
叢書(shū)名稱(chēng)Communications in Computer and Information Science
圖書(shū)封面Titlebook: High-Performance Computing Applications in Numerical Simulation and Edge Computing; ACM ICS 2018 Interna Changjun Hu,Wen Yang,Dong Dai Conf
描述This book constitutes the referred proceedings of two workshops held at the 32nd ACM International Conference on Supercomputing, ACM ICS 2018, in Beijing, China, in June 2018. This volume presents the papers that have been accepted for the following workshops: Second?International Workshop on High Performance Computing for Advanced Modeling and Simulation in Nuclear Energy and?Environmental Science,?HPCMS 2018, and First International Workshop on HPC Supported Data Analytics for Edge Computing, HiDEC 2018.?.The 20 full papers presented during HPCMS 2018 and HiDEC 2018 were carefully reviewed and selected from numerous submissions. The papers reflect such topics as computing methodologies; parallel algorithms; simulation types and techniques; machine learning.?.
出版日期Conference proceedings 2019
關(guān)鍵詞artificial intelligence; cloud computing; High-Performance Computing (HPC); map-reduce; parallel process
版次1
doihttps://doi.org/10.1007/978-981-32-9987-0
isbn_softcover978-981-32-9986-3
isbn_ebook978-981-32-9987-0Series ISSN 1865-0929 Series E-ISSN 1865-0937
issn_series 1865-0929
copyrightSpringer Nature Singapore Pte Ltd. 2019
The information of publication is updating

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High-Performance Computing Applications in Numerical Simulation and Edge Computing978-981-32-9987-0Series ISSN 1865-0929 Series E-ISSN 1865-0937
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Exploring Water Resource Changes of Artificial Reservoir Using Time-Series Remote Sensing Images fro upper Hanjiang River Basin and reservoir operation missions are primarily responsible for these changes. In addition, the relationship between surface water area and reservoir storage of the DJKR can be described as a cubic polynomial model.
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Research on Large Scale Parallel Hydrological Simulationparallel issues, the comparison of static parallel tasks decomposition method and dynamic parallel tasks decomposition methods will be presented. At last, we discussed the pipline parallel strategy of hydrological simulation.
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發(fā)表于 2025-3-23 02:57:12 | 只看該作者
The Study of Parallelization of SWAT Hydrology Cycle of this parallelism has been tested in the Shule River and the rivers in the northern slope of Tianshan Mountains. And the results show that this parallelism is suitable for the large scale hydrology simulations.
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發(fā)表于 2025-3-23 05:36:40 | 只看該作者
A Sequence Anomaly Detection Approach Based on Isolation Forest Algorithm for Time-Seriesbased on iForest, namely iForestFS. The experimental results are performed on three real-world data sets derived from UCI repository demonstrate that the proposed algorithm can effectively detect anomalous sequence of time-series data.
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