The Modular Microserver DataCenter (M2DC) project provides lowenergy, configurable, heterogeneous servers for applications that focus on the elaboration of large data sets, but can take advantage of performance enhancement provided by transparent acceleration techniques. In this paper, we exemplify the M2DC approach through one of the project’s use cases, namely automotive Internet of Things analytics. We present the main goals of the use case and we show how an appropriate M2DC microserver can be used to accelerate the application without significant modifications to its code.

Accelerating Automotive Analytics: The M2DC Appliance Approach

Giovanni Agosta;Carlo Brandolese;William Fornaciari;Nicholas Mainardi;Gerardo Pelosi;Federico Reghenzani;Michele Zanella;
2019

Abstract

The Modular Microserver DataCenter (M2DC) project provides lowenergy, configurable, heterogeneous servers for applications that focus on the elaboration of large data sets, but can take advantage of performance enhancement provided by transparent acceleration techniques. In this paper, we exemplify the M2DC approach through one of the project’s use cases, namely automotive Internet of Things analytics. We present the main goals of the use case and we show how an appropriate M2DC microserver can be used to accelerate the application without significant modifications to its code.
Embedded Computer Systems. Architectures, Modeling, and Simulation. SAMOS 2019
978-3-030-27562-4
978-3-030-27561-7
Data Analytics, Embedded Systems, Compilers, Applied Cryptography, Automotive
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11311/1099256
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