Abstract
The Modular Microserver DataCenter (M2DC) project provides low-energy, 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.
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Notes
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The accelerator was developed on an Arria 10 GX board, but Stratix 10 is the expected target for the deployment of the accelerator in the M2DC context.
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Acknowledgements
Work supported by the EU’s H2020 programme (grant n.688201), Modular Microserver DataCentre (M2DC).
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Agosta, G. et al. (2019). Accelerating Automotive Analytics: The M2DC Appliance Approach. In: Pnevmatikatos, D., Pelcat, M., Jung, M. (eds) Embedded Computer Systems: Architectures, Modeling, and Simulation. SAMOS 2019. Lecture Notes in Computer Science(), vol 11733. Springer, Cham. https://doi.org/10.1007/978-3-030-27562-4_33
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