Academic Journal
Modelling of vertical and ferroelectric junctionless technology for efficient 3D neural network compute cube dedicated to embedded artificial intelligence
| العنوان: | Modelling of vertical and ferroelectric junctionless technology for efficient 3D neural network compute cube dedicated to embedded artificial intelligence |
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| المؤلفون: | Maneux, C, Mukherjee, C., Deng, M., Dubourg, M., Reveil, L., Bordea, G., Lecestre, A., Larrieu, G., Trommer, J., Breyer, E.T., Slesazeck, S., Mikolajick, T., Baumgartner, O., Karner, M., Pirker, D., Stanojevic, Z., Atienza Alonso, David, Levisse, Alexandre Sébastien Julien, Ansaloni, Giovanni, Poittevin, A., Bosio, A., Deleruyelle, D., Marchand, C., O'Connor, I |
| المصدر: | http://infoscience.epfl.ch/record/289768. |
| سنة النشر: | 2021 |
| المجموعة: | Ecole Polytechnique Fédérale Lausanne (EPFL): Infoscience |
| الوصف: | This paper presents the set of simulation means used to develop the concept of N2C2 (neural network compute cube) based on a vertical transistor technology platform. On the basis of state-of-the-art junctionless nanowire transistors (JLNT), TCAD simulation, compact modeling and EM simulation are leveraged through a Design- Technology Co-Optimization (DTCO) to achieve innovative 3D circuit architectures. Further, System-Technology Co-Optimization (STCO) implications on 3D NN system architecture are explored. |
| نوع الوثيقة: | text |
| اللغة: | unknown |
| Relation: | http://infoscience.epfl.ch/record/289768; https://infoscience.epfl.ch/record/289768/files/IEDM_INVITED_MANEUX_2021%2007%2023%20FINAL.pdf |
| DOI: | 10.1109/IEDM19574.2021.9720572 |
| الاتاحة: | http://infoscience.epfl.ch/record/289768 https://doi.org/10.1109/IEDM19574.2021.9720572 https://infoscience.epfl.ch/record/289768/files/IEDM_INVITED_MANEUX_2021%2007%2023%20FINAL.pdf |
| رقم الانضمام: | edsbas.BA547931 |
| قاعدة البيانات: | BASE |
| DOI: | 10.1109/IEDM19574.2021.9720572 |
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