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Why High-Performance Modelling and Simulation for Big Data Applications Matters

Capitolo di libro
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.
Tipologia CRIS:
02A-Contributo in volume
Elenco autori:
Grelck, Clemens; Niewiadomska-Szynkiewicz, Ewa; Aldinucci, Marco; Bracciali, Andrea; Larsson, Elisabeth
Autori di Ateneo:
ALDINUCCI Marco
Link alla scheda completa:
https://iris.unito.it/handle/2318/1695460
Link al Full Text:
https://iris.unito.it/retrieve/handle/2318/1695460/488471/2019_Grelck_Chapter_WhyHigh-PerformanceModellingAn.pdf
Titolo del libro:
High-Performance Modelling and Simulation for Big Data Applications: Selected Results of the COST Action IC1406 cHiPSet
Pubblicato in:
LECTURE NOTES IN COMPUTER SCIENCE
Journal
LECTURE NOTES IN COMPUTER SCIENCE
Series
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Dati Generali

URL

https://doi.org/10.1007/978-3-030-16272-6_1
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