Abstract
We are making available a multi-petabyte data set for open science via a data hackathon. The participants bring their science to the computing and data facility, alleviating the need to transfer and manage the large volume of data. This accelerates the process of discovery science while increasing scientific throughput.
Original language | English |
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Title of host publication | Proceedings - 2022 IEEE 18th International Conference on e-Science, eScience 2022 |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 427-428 |
Number of pages | 2 |
ISBN (Electronic) | 9781665461245 |
DOIs | |
State | Published - 2022 |
Event | 18th IEEE International Conference on e-Science, eScience 2022 - Salt Lake City, United States Duration: Oct 10 2022 → Oct 14 2022 |
Publication series
Name | Proceedings - 2022 IEEE 18th International Conference on e-Science, eScience 2022 |
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Conference
Conference | 18th IEEE International Conference on e-Science, eScience 2022 |
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Country/Territory | United States |
City | Salt Lake City |
Period | 10/10/22 → 10/14/22 |
Funding
ACKNOWLEDGMENT This research used resources of the Oak Ridge Leadership Computing Facility, which is a DOE Office of Science User Facility supported under Contract DE-AC05-00OR22725. ECMWF also benefited from collaborations funded via ESCAPE-2 (No. 800897), MAESTRO (No. 08 1101), EuroEXA (No. 754337), and ESiWACE-2 (No. 28 3) projects funded by the European Unions' Horizon 2020 future and emerging technologies and the research and innovation programmes. This research used resources of the Oak Ridge Leadership Computing Facility, which is a DOE Office of Science User Facility supported under Contract DE-AC05-00OR22725. ECMWF also benefited from collaborations funded via ESCAPE-2 (No. 800897), MAESTRO (No. 801101), EuroEXA (No. 754337), and ESiWACE-2 (No. 823988) projects funded by the European Union's Horizon 2020 future and emerging technologies and the research and innovation programmes. Notice: This manuscript has been authored by UT-Battelle, LLC under Contract No. DE-AC05-00OR22725 with the U.S. Department of Energy. The publisher, by accepting the article for publication, acknowledges that the U.S. Government retains a non-exclusive, paid up, irrevocable, world-wide license to publish or reproduce the published form of the manuscript, or allow others to do so, for U.S. Government purposes. The DOE will provide public access to these results in accordance with the DOE Public Access Plan (http://energy.gov/downloads/doe-public-access-plan).
Keywords
- big data
- climate
- computing
- hackathon
- open science