Accelerating Low-End Edge Computing with Cross-Kernel Functionality Abstraction-Reference-Cited by-同舟云学术

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Accelerating Low-End Edge Computing with Cross-Kernel Functionality Abstraction

Published:2018 Issue: Volume: Page:545-561
ISSN:0302-9743
Container-title:Algorithms and Architectures for Parallel Processing
language:
Short-container-title:

Author:

Wu Chao,Zhang Yaoxue,Zhou Yuezhi,Li Qiushi

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-05051-1_38

Reference22 articles.

1. Adreno GPU. https://developer.qualcomm.com/software/adreno-gpu-sdk/gpu

2. Binder-for-linux. https://github.com/hungys/binder-for-linux

3. CUDA Samples. https://docs.nvidia.com/cuda/cuda-samples/

4. Qualcomm Snapdragon Processor. https://www.qualcomm.com/snapdragon

5. UNI-T UT658 USB Tester. http://www.uni-trend.com

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Multitask Deep Learning for Edge Intelligence Video Surveillance System;2020 IEEE 18th International Conference on Industrial Informatics (INDIN);2020-07-20

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