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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. 
Original languageEnglish
Number of pages1
Publication statusAccepted - 15 Oct 2016
EventSecond International Workshop on Heterogeneous High-performance Reconfigurable Computing (H2RC'16) - Salt Lake City, United States
Duration: 14 Nov 2016 → …
http://h2rc.cse.sc.edu/

Conference

ConferenceSecond International Workshop on Heterogeneous High-performance Reconfigurable Computing (H2RC'16)
CountryUnited States
CitySalt Lake City
Period14/11/2016 → …
Internet address

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    Barbhuiya, S., Wu, Y., Murphy, K., Vandierendonck, H., Karakonstantis, G., & Nikolopoulos, D. S. (Accepted/In press). Accelerating Data Center Applications with Reconfigurable DataFlow Engines. Paper presented at Second International Workshop on Heterogeneous High-performance Reconfigurable Computing (H2RC'16), Salt Lake City, United States.