Accelerating Data Center Applications With Reconfigurable Dataflow Engines

descriptionPublicationkeyboard_double_arrow_right Conference object , Other literature type , Article 01 Jan 2016Publisher:ZenodoJournal:H2RC 2016Funded by:EC | VINEYARD

Authors: BARBHUIYA, SAKIL; WU, YUN; Murphy, Karen; Vandierendonck, Hans; Karakonstantis, Georgios; Nikolopoulos, Dimitrios S.;

doi: 10.5281/zenodo.801521 , 10.5281/zenodo.801522

Accelerating Data Center Applications With Reconfigurable Dataflow Engines

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Abstract

Energy-efficient, programmable accelerators are an important value proposition for pushing the limits on the computation capacity and density of future data centers. Integrating the accelerators in the software stacks of cloud-based data analytics frameworks is, however, an open issue. The goal of this work is to achieve seamless integration of accelerators in data analytics programming frameworks.

Related Organizations

National School of Electronics and Telecommunications of Sfax, Tunisia
Tunisia

Keywords

vineyard, heterogeneous data center, h2020

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