IMC
Author:
Affiliation:
1. University of Central Florida
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3183584.3183613
Reference30 articles.
1. R. Andri etal "Yodann: An architecture for ultra-low power binary-weight cnn acceleration " IEEE TCAD 2017. R. Andri et al. "Yodann: An architecture for ultra-low power binary-weight cnn acceleration " IEEE TCAD 2017.
2. Binaryconnect: Training deep neural networks with binary weights during propagations;Courbariaux M.;Advances in Neural Information Processing Systems,2015
3. Binary convolutional neural network on rram," in 22nd ASP-DAC;Tang T.;IEEE,2017
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3. Maximizing Parallel Activation of Word-Lines in MRAM-Based Binary Neural Network Accelerators;IEEE Access;2021
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