ACM/IEEE Intl. Conf. for High Perf. Computing, Networking, Storage and Analysis, SC 2014


Article Details
Title: The DRIHM Project: A Flexible Approach to Integrate HPC, Grid and Cloud Resources for Hydro-Meteorological Research
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Authors: Daniele D'Agostino
  • CNR, Institute of Applied Mathematics and Information Technologies
Andrea Clematis
  • CNR, Institute of Applied Mathematics and Information Technologies
Antonella Galizia
  • CNR, Institute of Applied Mathematics and Information Technologies
Alfonso Quarati
  • CNR, Institute of Applied Mathematics and Information Technologies
Emanuele Danovaro
  • CNR, Institute of Applied Mathematics and Information Technologies
Luca Roverelli
  • CNS, Institute of Applied Mathematics and Information Technologies
Gabriele Zereik
  • CNR, Institute of Applied Mathematics and Information Technologies
Dieter Kranzlmüller
  • Ludwig-Maximilians-Universitat München
Michael Schiffers
  • Ludwig-Maximilians-Universitat München
Nils gentschen Felde
  • Ludwig-Maximilians-Universitat München
Christian Straube
  • Ludwig-Maximilians-Universitat München
Olivier Caumont
  • CNRM-GAME
Evelyne Richard
  • CNRS-University of Toulouse
Luis Garrote
  • Universidad Politecnica de Madrid
Quillon Harpham
  • HR Wallingford Ltd.
H. R. A. Jagers
  • Deltares
Vladimir Dimitrijevic
  • Republic Hydrometeorological Service of Serbia
Ljiljana Dekic
  • Republic Hydrometeorological Service of Serbia
Elisabetta Fiori
  • CIMA Research Foundation
Fabio Delogu
  • CIMA Research Foundation
Antonio Parodi
  • CIMA Research Foundation
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DBLP Key: conf/sc/DAgostinoCGQDRZKSFSCRGHJDDFDP14
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