Record link: 
http://hdl.handle.net/20.500.12708/193828
https://doi.org/10.34726/5447
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Title: 
Time Series in HPC: An exploratory study with distributed time series data for energy use cases
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Citation: 
Steiner, S., de Oliveira Gomes, R., Beyerle, G., Dimitrov, D., & Zabloudil, J. (2023). Time Series in HPC: An exploratory study with distributed time series data for energy use cases. In E. Reiter (Ed.), Austrian-Slovenian HPC Meeting 2023 - ASHPC23. EuroCC Austria. https://doi.org/10.34726/5447
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reposiTUm DOI: 
10.34726/5447
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Publication Type: 
Inproceedings - Abstract Book Contribution
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Language: 
English
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Authors: 
Steiner, Soner 
de Oliveira Gomes, Rosana 
Beyerle, Gregor 
Dimitrov, Dimitar 
Zabloudil, Jan 
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Organisational Unit: 
E057-09 - Fachbereich VSC Research Center 
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Published in: 
Austrian-Slovenian HPC Meeting 2023 - ASHPC23 
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ISBN: 
978-3-200-09311-9
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DOI of the book: 
10.25365/phaidra.423
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Date (published): 
13-Jun-2023
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Event name: 
Austrian-Slovenian HPC Meeting 2023 - ASHPC 
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Event date: 
13-Jun-2023 - 15-Jun-2023
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Event place: 
Maribor, Slovenia
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Number of Pages: 
1
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Publisher: 
EuroCC Austria
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Keywords: 
Time Series; HPC; DTW; Metrics
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Research facilities: 
Vienna Scientific Cluster 
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Project (external): 
Austrian Research Promotion Agency (FFG)
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Project ID: 
HPC-TS-Explore
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Research Areas: 
Mathematical and Algorithmic Foundations: 20%
Computer Science Foundations: 50%
Modeling and Simulation: 30%
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Science Branch: 
1020 - Informatik: 50%
1030 - Physik, Astronomie: 30%
1010 - Mathematik: 20%
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License: 
CC BY 4.0 CC BY 4.0
en
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