DORY: Lightweight memory hierarchy management for deep NN inference on IoT endnodes-Reference-Cited by-同舟云学术

DORY: Lightweight memory hierarchy management for deep NN inference on IoT endnodes

Published:2019-10-13 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the International Conference on Hardware/Software Codesign and System Synthesis Companion
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Author:

Burrello Alessio¹,Conti Francesco¹,Garofalo Angelo¹,Rossi Davide¹,Benini Luca¹

Affiliation:

1. University of Bologna, Bologna, Italy

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3349567.3351726

Reference7 articles.

1. Google AI. 2015. OR tools. (2015). https://developers.google.com/optimization/ Google AI. 2015. OR tools. (2015). https://developers.google.com/optimization/

2. GAP-8: A RISC-V SoC for AI at the Edge of the IoT

3. Daniele Palossi etal 2019. A 64mW DNN-based Visual Navigation Engine for Autonomous Nano-Drones. IEEE Internet of Things Journal (2019). Daniele Palossi et al 2019. A 64mW DNN-based Visual Navigation Engine for Autonomous Nano-Drones. IEEE Internet of Things Journal (2019).

4. Maurice Peemen etal 2013. Memory-centric accelerator design for convolutional neural networks. In 2013 IEEE 31st ICCD. Maurice Peemen et al. 2013. Memory-centric accelerator design for convolutional neural networks. In 2013 IEEE 31st ICCD.

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