Published October 15, 2016
| Version v1
Conference paper
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Accelerating Data Center Applications with Reconfigurable DataFlow Engines
Authors/Creators
- 1. School of Electronics, Electrical Engineering and Computer Science
- 2. Institute of Electronics, Communications & Information Technology
Description
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.
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