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

Author:

Ejarque JorgeORCID,Badia Rosa M.ORCID,Albertin Loïc,Aloisio GiovanniORCID,Baglione Enrico,Becerra YolandaORCID,Boschert StefanORCID,Berlin Julian R.,D’Anca AlessandroORCID,Elia DonatelloORCID,Exertier François,Fiore Sandro,Flich José,Folch ArnauORCID,Gibbons Steven J.ORCID,Koldunov NikolayORCID,Lordan FrancescORCID,Lorito StefanoORCID,Løvholt FinnORCID,Macías JorgeORCID,Marozzo FabrizioORCID,Michelini Alberto,Monterrubio-Velasco MarisolORCID,Pienkowska MartaORCID,de la Puente JosepORCID,Queralt AnnaORCID,Quintana-Ortí Enrique S.,Rodríguez Juan E.ORCID,Romano FabrizioORCID,Rossi RiccardoORCID,Rybicki Jedrzej,Kupczyk Miroslaw,Selva JacopoORCID,Talia Domenico,Tonini RobertoORCID,Trunfio Paolo,Volpe ManuelaORCID

Publisher

Elsevier BV

Subject

Computer Networks and Communications,Hardware and Architecture,Software

Reference76 articles.

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2. Big data and extreme-scale computing web site, [cited August, 2021], URL https://www.exascale.org/bdec/.

3. An object-oriented environment for developing finite element codes for multi-disciplinary applications;Dadvand;Arch. Comput. Methods Eng.,2010

4. Migration of a generic multi-physics framework to HPC environments;Dadvand;Comput. & Fluids,2013

5. AMGCL: An efficient, flexible, and extensible algebraic multigrid implementation;Demidov;Lobachevskii J. Math.,2019

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