Enabling dynamic and intelligent workflows for HPC, data analytics, and AI convergence


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nikolay.koldunov [ at ] awi.de

Abstract


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Article
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Published
Eprint ID
56698
DOI 10.1016/j.future.2022.04.014

Cite as
Ejarque, J. , Badia, R. M. , Albertin, L. , Aloisio, G. , Baglione, E. , Becerra, Y. , Boschert, S. , Berlin, J. R. , D’Anca, A. , Elia, D. , Exertier, F. , Fiore, S. , Flich, J. , Folch, A. , Gibbons, S. J. , Koldunov, N. , Lordan, F. , Lorito, S. , Løvholt, F. , Macías, J. , Marozzo, F. , Michelini, A. , Monterrubio-Velasco, M. , Pienkowska, M. , de la Puente, J. , Queralt, A. , Quintana-Ortí, E. S. , Rodríguez, J. E. , Romano, F. , Rossi, R. , Rybicki, J. , Kupczyk, M. , Selva, J. , Talia, D. , Tonini, R. , Trunfio, P. and Volpe, M. (2022): Enabling dynamic and intelligent workflows for HPC, data analytics, and AI convergence , Future Generation Computer Systems, 134 , pp. 414-429 . doi: 10.1016/j.future.2022.04.014


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