Canopy: A CNFET-based Process Variation Aware Systolic DNN Accelerator

Author:

Chu Cheng1,Xu Dawen2,Wang Ying3,Chen Fan1

Affiliation:

1. Indiana University Bloomington, United States

2. Seehi Microelectronics Co., Ltd, China

3. Chinese Academy of Sciences, China

Publisher

ACM

Reference26 articles.

1. Mohamed M Sabry Aly 2018 . The N3XT Approach to Energy-Efficient Abundant-Data Computing . In Proceedings of the IEEE. Mohamed M Sabry Aly 2018. The N3XT Approach to Energy-Efficient Abundant-Data Computing. In Proceedings of the IEEE.

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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