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[FZJ-2024-02201]
Book/Report
Badia, R. M. ; Berti-Equille, L. ; da Silva, R. F. ; et al
Integrating HPC, AI, and Workflows for Scientific Data Analysis (Dagstuhl Seminar 23352)
[13/8]
Schloss Dagstuhl – Leibniz-Zentrum für InformatikSchloss Dagstuhl – Leibniz-Zentrum für Informatik, Dagstuhl Reports 13, 36 pages (2024) [10.4230/DAGREP.13.8.129]2024
The Dagstuhl Seminar 23352, titled 'Integrating HPC, AI, and Workflows for Scientific Data Analysis,' held from August 27 to September 1, 2023, was a significant event focusing on the synergy between High-Performance Computing (HPC), Artificial Intelligence (AI), and scientific workflow technologies. The seminar recognized that modern Big Data analysis in science rests on three pillars: workflow technologies for reproducibility and steering, AI and Machine Learning (ML) for versatile analysis, and HPC for handling large data sets. [...]
OpenAccess: PDF;
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