Nov 26, 2019 · In this paper, we design and implement an embedded inference framework to accelerate the inference of the convolutional neural network on the ...
Oct 22, 2024 · In this paper, we design and implement an embedded inference framework to accelerate the inference of the convolutional neural network on the ...
This paper designs and implements an embedded inference framework to accelerate the inference of the convolutional neural network on the embedded platform, ...
Dec 7, 2019 · : Embedded Inference Framework for CNN Applications may use different CPU core at different time, and one. CPU core may run multiple ...
In this paper, we design and implement an embedded inference framework to accelerate the inference of the convolutional neural network on the embedded platform.
In this paper, we propose an integrated framework that can explore and customize DNN inference operations of DNN models on embedded edge devices.
We present CNNParted, an open-source framework for efficient, hardware-aware CNN inference partitioning targeting embedded AI applications.
May 6, 2024 · We present a systematic review of papers published during the last six years which describe techniques and methods to distribute Neural Networks ...
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Tencent - ncnn - is a high-performance neural network inference framework optimized for the mobile platform. uTensor - AI inference library based on mbed (an ...
This paper proposes a general approach to preparing a compressed deep neural network processor for inference with minimal additions to existing microprocessor ...