most citedNNStreamer: Stream Processing Paradigm for Neural Networks, Toward Efficient Development and Execution of On-Device AI Applications

4 citations · 7 across the 2 of their papers we have counts for

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cs.DC2019★ 4 cited

NNStreamer: Stream Processing Paradigm for Neural Networks, Toward Efficient Development and Execution of On-Device AI Applications

MyungJoo Ham, Ji Joong Moon, Geunsik Lim +8

We propose nnstreamer, a software system that handles neural networks as filters of stream pipelines, applying the stream processing paradigm to neural network applications. A new…