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- W2892771658 abstract "With proliferating sensor networks and Internet of Things-scale devices, networks are increasingly diverse and heterogeneous. To enable the most efficient use of network bandwidth with the lowest possible latency, we propose InLocus, a stream-oriented architecture situated at (or near) the network's edge which balances hardware-accelerated performance with the flexibility of asynchronous software-based control. In this paper we utilize a flexible platform (Xilinx Zynq SoC) to compare microbenchmarks of several InLocus implementations: naive JavaScript, Handwritten C, and High-Level Synthesis (HLS) in programmable hardware." @default.
- W2892771658 created "2018-10-05" @default.
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- W2892771658 date "2018-07-01" @default.
- W2892771658 modified "2023-09-25" @default.
- W2892771658 title "Data Distillation at the Network's Edge: Exposing Programmable Logic with InLocus" @default.
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- W2892771658 doi "https://doi.org/10.1109/edge.2018.00011" @default.
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