Accelerating Data Center Applications With Reconfigurable Dataflow Engines
Sakil Barbhuiya, Yun Wu, Murphy, Karen, Hans Vandierendonck, Georgios Karakonstantis, Dimitrios S. Nikolopoulos · Research Portal (Queen's University Belfast) · 2016
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.