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.

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

Aldinucci, Marco;
2019-01-01

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.
2019
High-Performance Modelling and Simulation for Big Data Applications: Selected Results of the COST Action IC1406 cHiPSet
Springer
11400
1
35
978-3-030-16272-6
https://doi.org/10.1007/978-3-030-16272-6_1
Grelck, Clemens; Niewiadomska-Szynkiewicz, Ewa; Aldinucci, Marco; Bracciali, Andrea; Larsson, Elisabeth
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2318/1695460
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