A View from ORNL: Scientific Data Research Opportunities in the Big Data Age-Reference-Cited by-同舟云学术

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A View from ORNL: Scientific Data Research Opportunities in the Big Data Age

Published:2018-07 Issue: Volume: Page:
ISSN:
Container-title:2018 IEEE 38th International Conference on Distributed Computing Systems (ICDCS)
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Author:

Klasky Scott,Wolf Matthew,Ainsworth Mark,Atkins Chuck,Choi Jong,Eisenhauer Greg,Geveci Berk,Godoy William,Kim Mark,Kress James,Kurc Tahsin,Liu Qing,Logan Jeremy,Maccabe Arthur B.,Mehta Kshitij,Ostrouchov George,Parashar Manish,Podhorszki Norbert,Pugmire David,Suchyta Eric,Wan Lipeng,Wang Ruonan

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8415923/8416263/08416399.pdf?arnumber=8416399

Cited by 9 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. The Adaptable IO System (ADIOS);Mathematics and Visualization;2022

2. Efficient loading of reduced data ensembles produced at ORNL SNS/HFIR neutron time-of-flight facilities;2021 IEEE International Conference on Big Data (Big Data);2021-12-15

3. Fides: A General Purpose Data Model Library for Streaming Data;Lecture Notes in Computer Science;2021

4. ADIOS 2: The Adaptable Input Output System. A framework for high-performance data management;SoftwareX;2020-07

5. Scalable Data-Intensive Geocomputation: A Design for Real-Time Continental Flood Inundation Mapping;Communications in Computer and Information Science;2020

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