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EnglishModelling and Simulation (M&S) offer adequate abstractions to manage the complexity of analysing big data in scientific and engineering domains. Unfortunately, big data problems are often not easily amenable to efficient and effective use of High Performance Computing (HPC) facilities and technologies. Furthermore, M&S communities typically lack the detailed expertise required to exploit the full potential of HPC solutions while HPC specialists may not be fully aware of specific modelling and simulation requirements and applications.
| Titolo: | Why High-Performance Modelling and Simulation for Big Data Applications Matters | |
| Autori Riconosciuti: | ||
| Autori: | Grelck, Clemens; Niewiadomska-Szynkiewicz, Ewa; Aldinucci, Marco; Bracciali, Andrea; Larsson, Elisabeth | |
| Data di pubblicazione: | 2019 | |
| Abstract: | Modelling and Simulation (M&S) offer adequate abstractions to manage the complexity of analysing big data in scientific and engineering domains. Unfortunately, big data problems are often not easily amenable to efficient and effective use of High Performance Computing (HPC) facilities and technologies. Furthermore, M&S communities typically lack the detailed expertise required to exploit the full potential of HPC solutions while HPC specialists may not be fully aware of specific modelling and simulation requirements and applications. | |
| Editore: | Springer | |
| Titolo del libro: | High-Performance Modelling and Simulation for Big Data Applications: Selected Results of the COST Action IC1406 cHiPSet | |
| Volume: | 11400 | |
| Pagina iniziale: | 1 | |
| Pagina finale: | 35 | |
| Digital Object Identifier (DOI): | 10.1007/978-3-030-16272-6_1 | |
| ISBN: | 978-3-030-16272-6 | |
| URL: | https://doi.org/10.1007/978-3-030-16272-6_1 | |
| Appare nelle tipologie: | 02A-Contributo in volume |
File in questo prodotto:
| File | Descrizione | Tipologia | Licenza | |
|---|---|---|---|---|
| 2019_Grelck_Chapter_WhyHigh-PerformanceModellingAn.pdf | editoriale | PDF EDITORIALE | Open Access Visualizza/Apri |
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