LOCo: LPDDR Optimization with Compression and IECC scheme for DNN Inference
Author:
Affiliation:
1. Yonsei University, Seoul, Seoul, Republic of Korea
2. University of Yonsei, Seoul, Seoul, Republic of Korea
3. Yonsei University, Seodaemun-gu, Seoul, Republic of Korea
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3665314.3670812
Reference21 articles.
1. X. Chen et al., "Dnnoff: offloading dnn-based intelligent iot applications in mobile edge computing," IEEE transactions on industrial informatics, vol. 18, no. 4. pp. 2820--2829, 2021.
2. S. Han et al., "Deep compression: Compressing deep neural networks with pruning, trained quantization and huffman coding," arXiv preprint arXiv:1510.00149, 2015.
3. DeepCABAC: A Universal Compression Algorithm for Deep Neural Networks
4. S.-S. Lee et al., "Value-aware parity insertion ecc for fault-tolerant deep neural network," in 2022 DATE, pp. 724--729, IEEE, 2022.
5. X. Xin et al., "Architecting ddr5 dram caches for non-volatile memory systems," in Proceedings of the 59th ACM/IEEE Design Automation Conference, pp. 1057--1062, 2022.
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