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Fabio Carta
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2020 – today
- 2024
- [c5]H. Y. Cheng, Z. L. Liu, A. Majumdar, Alexander Grun, A. Ray, J. Su, Malte J. Rasch, Fabio Carta, Lynne M. Gignac, C. Lavoie, C. W. Cheng, M. Bright Sky, H. L. Lung:
State-Independent Low Resistance Drift SiSbTe Phase Change Memory for Analog In-Memory Computing Applications. VLSI Technology and Circuits 2024: 1-2 - [c4]Ruilong Xie, Wonhyuk Hong, Chen Zhang, Jongjin Lee, Kevin Brew, Richard Johnson, Nicholas A. Lanzillo, Hosadurga Shobha, Taesun Kim, Panjae Park, Shogo Mochizuki, Iqbal Saraf, Chanro Park, Lei Zhuang, Clifford Osborn, Wai Kin Li, Feng Liu, Muthumanickam Sankarapandian, Chung Ju Yang, Juntao Li, Lukas Tierney, Ruturaj Pujari, Yasir Sulehria, Yuncheng Song, Huimei Zhou, Miaomiao Wang, Michael Belyansky, Somnath Ghosh, Haojun Zhang, Koichi Motoyama, Debarghya Sarkar, Wukang Kim, Albert Chu, Tao Li, Fabio Carta, Oleg Gluschenkov, Joongsuk Oh, Matthew Malley, Pinlei Chu, Son Nguyen, Katherine Luedders, Joe Lee, Shahrukh Khan, Prabudhya Roy Chowdhury, Huai Huang, Abir Shadman, Stuart Sieg, Daniel Dechene, Daniel Edelstein, John Arnold, Tenko Yamashita, Kisik Choi, Kang-ill Seo, Dechao Guo, Huiming Bu:
Backside Power Distribution for Nanosheet Technologies Beyond 2nm. VLSI Technology and Circuits 2024: 1-2 - 2023
- [c3]Ankur Agrawal, Monodeep Kar, Kyu-Hyoun Kim
, Sergey V. Rylov, Jinwook Jung, Seiji Munetoh, Kohji Hosokawa, Xin Zhang
A Switched-Capacitor Integer Compute Unit with Decoupled Storage and Arithmetic for Cloud AI Inference in 5nm CMOS. VLSI Technology and Circuits 2023: 1-2 - [i3]Malte J. Rasch, Fabio Carta, Omobayode Fagbohungbe, Tayfun Gokmen:
Fast offset corrected in-memory training. CoRR abs/2303.04721 (2023) - [i2]Manuel Le Gallo, Corey Lammie, Julian Büchel, Fabio Carta, Omobayode Fagbohungbe, Charles Mackin, Hsinyu Tsai, Vijay Narayanan
Using the IBM Analog In-Memory Hardware Acceleration Kit for Neural Network Training and Inference. CoRR abs/2307.09357 (2023) - 2021
- [c2]Malte J. Rasch, Diego Moreda, Tayfun Gokmen, Manuel Le Gallo, Fabio Carta, Cindy Goldberg, Kaoutar El Maghraoui
A Flexible and Fast PyTorch Toolkit for Simulating Training and Inference on Analog Crossbar Arrays. AICAS 2021: 1-4 - [i1]Malte J. Rasch, Diego Moreda, Tayfun Gokmen, Manuel Le Gallo, Fabio Carta, Cindy Goldberg, Kaoutar El Maghraoui, Abu Sebastian, Vijay Narayanan:
A flexible and fast PyTorch toolkit for simulating training and inference on analog crossbar arrays. CoRR abs/2104.02184 (2021)
2010 – 2019
- 2018
- [c1]Wanki Kim, SangBum Kim
Reliability benefits of a metallic liner in confined PCM. IRPS 2018: 6
Coauthor Index
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