Efficiency measurements of current version of HPC codes for available Exascale architectures and prototypes.
This report includes the physical and numerical modelling approach proposed to characterize numerically the multiphase reacting flow.
This report includes the physico-chemical properties of the fuels of interest and will be used by the CFD
Summarizes the optimizations applied to HPC codes and the obtained results in terms of efficiency and scalability.
The DMP will describe the life cycle for all data sets that will be collected, processed or generated by the research project. It is a document outlining how research data will be handled during a research project, and even after the project is completed, describing what data will be collected, processed or generated and following what methodology and standards, whether and how this data will be shared and/or made open, and how it will be curated and preserved. The DMP is not a fixed document; it evolves and gains more precision and substance during the lifespan of the project. It should include the following information: i. Description of Data, ii. Data Collection/Generation, iii. Data management: documentation & Metadata, iv. Intellectual Property Rights and v. Accessibility: Data sharing, archiving and preservation.
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Author(s): B. Otero, O. Rojas, F. Moya, J.E. Castillo
Published in: Computers & Fluids, Issue 205, 2020, Page(s) 104584, ISSN 0045-7930
Author(s): Manuel Rodríguez-Pascual, Antonio J. Rubio-Montero, José A. Moríñigo, Rafael Mayo-García
Published in: Data in Brief, Issue 28, 2020, Page(s) 105006, ISSN 2352-3409
Author(s): Noelia Molero-Puerto and Rafael Mayo-García
Published in: Proceedings of the 2019 Winter Simulation Conference, 2019
Author(s): Sebastian Wolf, Alice-Agnes Gabriel, Michael Bader
Published in: Computational Science – ICCS 2020 - 20th International Conference, Amsterdam, The Netherlands, June 3–5, 2020, Proceedings, Part III, Issue 12139, 2020, Page(s) 32-45