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Towards HPC and Big Data Analytics Convergence: Design and Experimental Evaluation of a HPDA Framework for eScience at Scale

  • Published:2021 Issue: Volume:9 Page:73307-73326
  • ISSN:2169-3536
  • Container-title:IEEE Access
  • language:
  • Short-container-title:IEEE Access

Author:

Elia DonatelloORCID,Fiore SandroORCID,Aloisio GiovanniORCID

Funder

European Union’s Horizon 2020 Research and Innovation Programme through the Project ESiWACE2

European Union’s Horizon 2020 Research and Innovation Programme through the Project EXDCI-2

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science

Cited by 10 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A Graph Data Model-based Micro-Provenance Approach for Multi-level Provenance Exploration in End-to-End Climate Workflows;2023 IEEE International Conference on Big Data (BigData);2023-12-15

2. PyOphidia: A Python library for High Performance Data Analytics at scale;SoftwareX;2023-12

3. Kernel-as-a-Service;Proceedings of the 24th International Middleware Conference on ZZZ;2023-11-27

4. End-to-End Workflows for Climate Science: Integrating HPC Simulations, Big Data Processing, and Machine Learning;Proceedings of the SC '23 Workshops of The International Conference on High Performance Computing, Network, Storage, and Analysis;2023-11-12

5. An Ensemble Machine Learning Approach for Tropical Cyclone Localization and Tracking From ERA5 Reanalysis Data;Earth and Space Science;2023-11
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