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  • Conference proceedings
  • © 2019

High-Performance Computing Applications in Numerical Simulation and Edge Computing

ACM ICS 2018 International Workshops, HPCMS and HiDEC, Beijing, China, June 12, 2018, Revised Selected Papers

Editors:

  1. Changjun Hu

    1. University of Science and Technology, Beijing, China

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  2. Wen Yang

    1. China Institute of Atomic Energy, Beijing, China

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  3. Congfeng Jiang

    1. Hangzhou Dianzi University, Hangzhou, China

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  4. Dong Dai

    1. Computer Science, Texas Tech University, Lubbock, USA

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Part of the book series: Communications in Computer and Information Science (CCIS, volume 913)

Conference series link(s): HiDEC: International Workshop on HPC Supported Data Analytics for Edge Computing, HPCMS: International Workshop on High Performance Computing for Advanced Modeling and Simulation in Nuclear Energy and Environmental Science

Conference proceedings info: HiDEC 2018, HPCMS 2018.

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Table of contents (20 papers)

  1. Front Matter

    Pages i-x
    PDF

  2. HPC Supported Data Analytics for Edge Computing

    1. Front Matter

      Pages 1-1
      PDF

    2. Towards Computation Offloading in Edge Computing: A Survey

      • Xiaolan Cheng, Xin Zhou, Congfeng Jiang, Jian Wan
      Pages 3-15

    3. An Edge Computing Platform for Intelligent Internet Data Center Operational Monitoring

      • Yeliang Qiu, Congfeng Jiang, Tiantian Fan, Jian Wan
      Pages 16-28

    6. A Deep Learning Based Objection Detection Method for High Resolution Remote Sensing Image

      • Hailei Wang, Sumin Li, Bingyu Sun, Ronghua Du, Ling Zhao, Wenbo Li et al.
      Pages 50-56

    8. Diverse Demands Estimation and Ranking Based on User Behaviors

      • Liandong Chen, Shigang Li, Chunbao Zhou, Fang Liu, Rui Xu, Shuo Li et al.
      Pages 69-78

    9. Energy Aware Edge Computing: A Survey

      • Tiantian Fan, Yeliang Qiu, Congfeng Jiang, Jian Wan
      Pages 79-91

  3. High Performance Computing for Advanced Modeling and Simulation in Nuclear Energy and Environmental Science

    1. Front Matter

      Pages 93-93
      PDF

    2. Virtual Reactors Towards the Exascale Supercomputing Era

      • Xianmeng Wang, Changjun Hu, Wen Yang, Tiancai Liu, Zhaoshun Wang, Xuesong Wang et al.
      Pages 95-106

    3. Prospects for CVR-0: A Prototype of China Virtual Reactor

      • An Wang, Changjun Hu, Wen Yang, Jue Wang, Zhaoshun Wang, Tiancai Liu et al.
      Pages 107-125

    5. Effect of Ni and Mn on the Interaction of an Edge Dislocation with Cu-rich Precipitates in Bcc Fe

      • Yankun Dou, Dongjie Wang, Xinfu He, Muhammad Rizwan, Lixia Jia, Shi Wu et al.
      Pages 135-151

    6. The Performance Test and Optimization of Crystal-MD Program on Tianhe-2

      • Jianjiang Li, Kai Zhang, Peng Wei, Jie Wang, Changjun Hu
      Pages 152-163

    7. Research on Large Scale Parallel Hydrological Simulation

      • Genshen Chu, Changjun Hu, Xiaoning Qin, Jiahao Wu, Yanfei Wu
      Pages 164-173

    8. The Study of Parallelization of SWAT Hydrology Cycle

      • Qiang Li, Ningming Nie, Zhonghua Lu, Yangang Wang
      Pages 174-185

    9. Research on Shared Resource Contention of Cloud Data Center

      • Jingyuan Hu, Jianjiang Li
      Pages 186-197
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Other Volumes

  1. High-Performance Computing Applications in Numerical Simulation and Edge Computing

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About this book

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. 





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Keywords

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Editors and Affiliations

  • University of Science and Technology, Beijing, China

    Changjun Hu

  • China Institute of Atomic Energy, Beijing, China

    Wen Yang

  • Hangzhou Dianzi University, Hangzhou, China

    Congfeng Jiang

  • Computer Science, Texas Tech University, Lubbock, USA

    Dong Dai

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Bibliographic Information

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Access via your institution

Buy it now

eBook USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access

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