Heterogeneous Servers based on Programmable Cores and Dataflow Engines

Yun Wu, Charles Gillan, Umar Minhas, Sakil Barbhuiya, Aleksandar Novakovic, Konstantinos Tovletoglou, Georgios Tzenakis, Hans Vandierendonck, Georgios Karakonstantis, Dimitrios Nikolopoulos

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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The continuous growth of the Internet, and the data volumes associated to it, put severe pressure on the computational, storage and networking resources available in to- day's data-centers. The stringent power budgets and the difficult expansion of current Internet communication infrastructures necessitates the design of new server architectures, programming models and run-time systems. In this paper, we present promising options in the design of energy-efficient servers based on programmable accelerators which can help push the limits on the computation of future data centers. We show that one of the proposed micro-server prototypes based on custom tiny cores can achieve 40% better energy- efficiency than a standard Xeon Server, while data ow engines can help speedup execution by up to 374x for various workloads.
Original languageEnglish
Title of host publicationWorkshop Energy efficient Servers for Cloud and Edge Computing 2017
Publication statusPublished - 23 Jan 2017
EventWorkshop on Energy-efficient Servers for Cloud and Edge Computing 2017 - Stockholm, Sweden
Duration: 23 Jan 201723 Jan 2017


ConferenceWorkshop on Energy-efficient Servers for Cloud and Edge Computing 2017
Abbreviated titleEnESCE 2017


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