Enabling Real-time AI Inference on Mobile Devices via GPU-CPU Collaborative Execution-Reference-Cited by-同舟云学术

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Enabling Real-time AI Inference on Mobile Devices via GPU-CPU Collaborative Execution

Published:2022-08 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE 28th International Conference on Embedded and Real-Time Computing Systems and Applications (RTCSA)
language:
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Author:

Li Hao¹,Ng Joseph K.¹,Abdelzaher Tarek²

Affiliation:

1. Hong Kong Baptist University,Department of Computer Science,Hong Kong

2. University of Illinois at Urbana-Champaign,Department of Computer Science,IL,USA

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9904767/9904747/09904808.pdf?arnumber=9904808

Reference30 articles.

1. On Removing Algorithmic Priority Inversion from Mission-critical Machine Inference Pipelines

2. Deep learning

3. Distributed Inference Acceleration with Adaptive DNN Partitioning and Offloading

4. Modeling the Resource Requirements of Convolutional Neural Networks on Mobile Devices

5. Kahawai

Cited by 3 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. Algorithms for Canvas-Based Attention Scheduling with Resizing;2024 IEEE 30th Real-Time and Embedded Technology and Applications Symposium (RTAS);2024-05-13

2. Parallel Implementation of Lightweight Secure Hash Algorithm on CPU and GPU Environments;Electronics;2024-02-26

3. Horizontally Distributed Inference of Deep Neural Networks for AI-Enabled IoT;Sensors;2023-02-08

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