Fabio Carta

According to our database, Fabio Carta authored at least 5 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Using the IBM Analog In-Memory Hardware Acceleration Kit for Neural Network Training and Inference.

Manuel Le Gallo, Corey Lammie, Julian Büchel, Fabio Carta, Omobayode Fagbohungbe, Charles Mackin, Hsinyu Tsai, Vijay Narayanan, Abu Sebastian, Kaoutar El Maghraoui, Malte J. Rasch

CoRR, 2023

Fast offset corrected in-memory training.

Malte J. Rasch, Fabio Carta, Omobayode Fagbohungbe, Tayfun Gokmen

CoRR, 2023

A Switched-Capacitor Integer Compute Unit with Decoupled Storage and Arithmetic for Cloud AI Inference in 5nm CMOS.

Ankur Agrawal, Monodeep Kar, Kyu-Hyoun Kim, Sergey V. Rylov, Jinwook Jung, Seiji Munetoh, Kohji Hosokawa, Xin Zhang, Bahman Hekmatshoartabari, Fabio Carta, Martin Cochet, Robert Casatuta, Mingu Kang, Sunil Shukla, Kailash Gopalakrishnan, Leland Chang

Proceedings of the 2023 IEEE Symposium on VLSI Technology and Circuits (VLSI Technology and Circuits), 2023

2021

A Flexible and Fast PyTorch Toolkit for Simulating Training and Inference on Analog Crossbar Arrays.

Malte J. Rasch, Diego Moreda, Tayfun Gokmen, Manuel Le Gallo, Fabio Carta, Cindy Goldberg, Kaoutar El Maghraoui, Abu Sebastian, Vijay Narayanan

Proceedings of the 3rd IEEE International Conference on Artificial Intelligence Circuits and Systems, 2021

2018

Reliability benefits of a metallic liner in confined PCM.

Wanki Kim, SangBum Kim, Robert L. Bruce, Fabio Carta, G. Fraczak, A. Ray, Chung Lam, Matthew BrightSky, Yu Zhu, T. Masuda, K. Suu, Yujun Xie, Yerin Kim, Judy J. Cha

Proceedings of the IEEE International Reliability Physics Symposium, 2018