ReDy: A Novel ReRAM-centric Dynamic Quantization Approach for Energy-efficient CNNs-Reference-Cited by-同舟云学术

ReDy: A Novel ReRAM-centric Dynamic Quantization Approach for Energy-efficient CNNs

Published:2024-08-12 Issue: Volume: Page:1042-1051
ISSN:
Container-title:Proceedings of the 53rd International Conference on Parallel Processing
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Author:

Sabri Abrebekoh Mohammad¹^ORCID,Riera Villanueva Marc¹^ORCID,Gonzalez Antonio¹^ORCID

Affiliation:

1. Department of Computer Architecture, Universitat Politècnica de Catalunya · Barcelona Tech - UPC, Spain

Funder

CoCoUnit ERC Advanced Grant of the EU?s Horizon 2020 program

Spanish State Research Agency (MCIN/AEI)

Catalan Agency for University and Research (AGAUR)

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3673038.3673044

Reference25 articles.

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5. Ping Chi Shuangchen Li Cong Xu Tao Zhang Jishen Zhao and Liu et al.2016. PRIME: A Novel Processing-in-Memory Architecture for Neural Network Computation in ReRAM-Based Main Memory. In ISCA. 27–39.