Accelerating Data Center Applications With Reconfigurable Dataflow Engines

SAKIL BARBHUIYA, YUN WU, Karen Murphy, Hans Vandierendonck, Georgios Karakonstantis, Dimitrios S. Nikolopoulos
2016 Zenodo  
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.
doi:10.5281/zenodo.801521 fatcat:lwu5s5g5sbe3bimwdgmpux7mj4