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Accelerating Time to Science using CRADLE: A Framework for ..:
, In:
2023 IEEE 30th International Conference on High Performance Computing, Data, and Analytics (HiPC)
,
Nihar, Arafath
;
Ciardi, Thomas G.
;
Chawla, Rounak
... - p. 234-245 , 2023
Link:
https://doi.org/10.1109/HiPC58850.2023.00041
RT T1 <cTitle>2023 IEEE 30th International Conference on High Performance Computing, Data, and Analytics (HiPC)</cTitle>: T1 <Title>Accelerating Time to Science using CRADLE: A Framework for Materials Data Science</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10487079&Exemplar=1&LAN=DE A1 Nihar, Arafath A1 Ciardi, Thomas G. A1 Chawla, Rounak A1 Akanbi, Olatunde A1 Chaudhary, Vipin A1 Wu, Yinghui A1 French, Roger H. YR 2023 SN 2640-0316 K1 Materials science and technology K1 Analytical models K1 Computational modeling K1 High performance computing K1 Distributed databases K1 Data science K1 Data models K1 scalable K1 infrastructure K1 distributed computing K1 Hadoop K1 AI4Science K1 materials data science SP 234 OP 245 LK http://dx.doi.org/https://doi.org/10.1109/HiPC58850.2023.00041 DO https://doi.org/10.1109/HiPC58850.2023.00041 SF ELIB - SuUB Bremen
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