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"Impact of Phase-Change Memory Drift on Energy Efficiency and Accuracy of ..."

Martin M. Frank et al. (2023)

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DOI: 10.1109/IRPS48203.2023.10117874

access: closed

type: Conference or Workshop Paper

metadata version: 2023-09-30

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  dblp key:
  - conf/irps/FrankLRJCMHNPBSSSBWSNMCTB23
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  persistent URL:
  - https://dblp.org/rec/conf/irps/FrankLRJCMHNPBSSSBWSNMCTB23
Martin M. Frank, Ning Li, Malte J. Rasch, Shubham Jain, Ching-Tzu Chen, Ramachandran Muralidhar, Jin-Ping Han, Vijay Narayanan, Timothy Philip, Kevin Brew, Andrew Simon, Iqbal Saraf, Nicole Saulnier, Irem Boybat, Stanislaw Wozniak, Abu Sebastian, Pritish Narayanan, Charles Mackin, An Chen, Hsinyu Tsai, Geoffrey W. Burr:
Impact of Phase-Change Memory Drift on Energy Efficiency and Accuracy of Analog Compute-in-Memory Deep Learning Inference (Invited). IRPS 2023: 1-10

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