Canopy: A CNFET-based Process Variation Aware Systolic DNN Accelerator
Author:
Affiliation:
1. Indiana University Bloomington, United States
2. Seehi Microelectronics Co., Ltd, China
3. Chinese Academy of Sciences, China
Publisher
ACM
Reference26 articles.
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2. A. G. Amer , R. Ho , G. Hills , A. P. Chandrakasan , and M. M. Shulaker . 2019 . SHARC: Self-Healing Analog with RRAM and CNFETs. In ISSCC. A. G. Amer, R. Ho, G. Hills, A. P. Chandrakasan, and M. M. Shulaker. 2019. SHARC: Self-Healing Analog with RRAM and CNFETs. In ISSCC.
3. S. Banerjee 2020. Analysis of the Impact of Process Variations and Manufacturing Defects on the Performance of Carbon-Nanotube FETs . IEEE TVLSIS ( 2020 ). S. Banerjee 2020. Analysis of the Impact of Process Variations and Manufacturing Defects on the Performance of Carbon-Nanotube FETs. IEEE TVLSIS (2020).
4. Qing Cao 2013. Arrays of Sngle-Walled Carbon Nanotubes with Full Surface Coverage for High-Performance Electronics. In Nature Nanotechnology. Qing Cao 2013. Arrays of Sngle-Walled Carbon Nanotubes with Full Surface Coverage for High-Performance Electronics. In Nature Nanotechnology.
5. Jie Deng 2006. A Circuit-Compatible SPICE Model for Enhancement Mode Carbon Nanotube Field Effect Transistors. In SISPAD. Jie Deng 2006. A Circuit-Compatible SPICE Model for Enhancement Mode Carbon Nanotube Field Effect Transistors. In SISPAD.
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