Demand Layering for Real-Time DNN Inference with Minimized Memory Usage

Author:

Ji Mingoo1,Yi Saehanseul2,Koo Changjin1,Ahn Sol1,Seo Dongjoo2,Dutt Nikil2,Kim Jong-Chan1

Affiliation:

1. Graduate School of Automotive Engineering, Kookmin University,Korea

2. University of California,Department of Computer Science,Irvine,USA

Funder

National Research Foundation of Korea (NRF)

Publisher

IEEE

Reference59 articles.

1. MCUNet: Tiny deep learning on iot devices;lin;Advances in Neural IInformation Processing Systems,2020

2. A real-time scratchpad-centric os for multicore embedded systems;tabish;Proc IEEE Real-Time and Embedded Technology and Applications Symp (RTAS),0

3. Efficient memory management for deep neural net inference;pisarchyk;ArXiv Preprint,2020

4. Hiding memory latency using fixed priority scheduling

5. SwapAdvisor

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