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High-Performance Computing Applications in Numerical Simulation and Edge Computing

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Cover of 'High-Performance Computing Applications in Numerical Simulation and Edge Computing'

Table of Contents

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    Book Overview
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    Chapter 1 Towards Computation Offloading in Edge Computing: A Survey
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    Chapter 2 An Edge Computing Platform for Intelligent Internet Data Center Operational Monitoring
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    Chapter 3 Big Data Analytics for Water Resources Sustainability Evaluation
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    Chapter 4 Exploring Water Resource Changes of Artificial Reservoir Using Time-Series Remote Sensing Images from Landsat Sensors and in Situ Data
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    Chapter 5 A Deep Learning Based Objection Detection Method for High Resolution Remote Sensing Image
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    Chapter 6 A Case Study for User Rating Prediction on Automobile Recommendation System Using MapReduce
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    Chapter 7 Diverse Demands Estimation and Ranking Based on User Behaviors
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    Chapter 8 Energy Aware Edge Computing: A Survey
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    Chapter 9 Virtual Reactors Towards the Exascale Supercomputing Era
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    Chapter 10 Prospects for CVR-0: A Prototype of China Virtual Reactor
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    Chapter 11 Diffusion Mechanism of Small Helium-Vacancy Clusters in BCC Fe and Fe-10%Cr Alloy
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    Chapter 12 Effect of Ni and Mn on the Interaction of an Edge Dislocation with Cu-rich Precipitates in Bcc Fe
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    Chapter 13 The Performance Test and Optimization of Crystal-MD Program on Tianhe-2
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    Chapter 14 Research on Large Scale Parallel Hydrological Simulation
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    Chapter 15 The Study of Parallelization of SWAT Hydrology Cycle
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    Chapter 16 Research on Shared Resource Contention of Cloud Data Center
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    Chapter 17 A Sequence Anomaly Detection Approach Based on Isolation Forest Algorithm for Time-Series
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    Chapter 18 Hourly Day-Ahead Power Forecasting for PV Plant Based on Bidirectional LSTM
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    Chapter 19 A Reliability Task Scheduling for High-Throughput Computing Platform
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    Chapter 20 Topology Layout Technology of Energy Internet
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Title
High-Performance Computing Applications in Numerical Simulation and Edge Computing
Published by
Springer Singapore, November 2019
DOI 10.1007/978-981-32-9987-0
ISBNs
978-9-81-329986-3, 978-9-81-329987-0
Editors

Hu, Changjun, Yang, Wen, Jiang, Congfeng, Dai, Dong

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