Improving dnn fault tolerance using weight pruning and differential crossbar mapping for reram-based edge ai

G Yuan, Z Liao, X Ma, Y Cai, Z Kong… - … on Quality Electronic …, 2021 - ieeexplore.ieee.org
Recent research demonstrated the promise of using resistive random access memory
(ReRAM) as an emerging technology to perform inherently parallel analog domain in-situ …

Improving DNN Fault Tolerance using Weight Pruning and Differential Crossbar Mapping for ReRAM-based Edge AI

G Yuan, Z Liao, X Ma, Y Cai, Z Kong, X Shen… - arXiv preprint arXiv …, 2021 - arxiv.org
Recent research demonstrated the promise of using resistive random access memory
(ReRAM) as an emerging technology to perform inherently parallel analog domain in-situ …

Improving DNN Fault Tolerance using Weight Pruning and Differential Crossbar Mapping for ReRAM-based Edge AI

G Yuan, Z Liao, X Ma, Y Cai, Z Kong, X Shen… - arXiv e …, 2021 - ui.adsabs.harvard.edu
Recent research demonstrated the promise of using resistive random access memory
(ReRAM) as an emerging technology to perform inherently parallel analog domain in-situ …

[引用][C] Improving dnn fault tolerance using weight pruning and differential crossbar mapping for reram-based edge ai

G Yuan, X Ma, Y Cai, Z Kong, X Shen, Z Li… - … Symposium on Quality …, 2021 - elibrary.ru

[PDF][PDF] Improving DNN Fault Tolerance using Weight Pruning and Differential Crossbar Mapping for ReRAM-based Edge AI

G Yuan, Z Liao, X Ma, Y Cai, Z Kong, X Shen… - … Symposium on Quality …, 2021 - par.nsf.gov
Recent research demonstrated the promise of using resistive random access memory
(ReRAM) as an emerging technology to perform inherently parallel analog domain in-situ …