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DNN+NeuroSim V2.0: An End-to-End Benchmarking Framework for Compute-in-Memory Accelerators for On-chip Training

Mar 13, 2020
Xiaochen Peng, Shanshi Huang, Hongwu Jiang, Anni Lu, Shimeng Yu

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High-Throughput In-Memory Computing for Binary Deep Neural Networks with Monolithically Integrated RRAM and 90nm CMOS

Sep 16, 2019
Shihui Yin, Xiaoyu Sun, Shimeng Yu, Jae-sun Seo

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Large-Scale Neuromorphic Spiking Array Processors: A quest to mimic the brain

May 23, 2018
Chetan Singh Thakur, Jamal Molin, Gert Cauwenberghs, Giacomo Indiveri, Kundan Kumar, Ning Qiao, Johannes Schemmel, Runchun Wang, Elisabetta Chicca, Jennifer Olson Hasler, Jae-sun Seo, Shimeng Yu, Yu Cao, André van Schaik, Ralph Etienne-Cummings

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Device and System Level Design Considerations for Analog-Non-Volatile-Memory Based Neuromorphic Architectures

May 06, 2016
Sukru Burc Eryilmaz, Duygu Kuzum, Shimeng Yu, H. -S. Philip Wong

* Electron Devices Meeting (IEDM), IEEE International ,pp.4.1.1-4.1.4, 2015 
* 4 pages, In Electron Devices Meeting (IEDM), 2015 IEEE International (pp. 4.1). IEEE. Original paper can be found here: Abstract can be found here: 

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