Toward Software-Equivalent Accuracy on Transformer-Based Deep Neural Networks With Analog Memory Devices

por Spoon, Katie, Tsai, Hsinyu, Chen, An, Rasch, Malte J., Ambrogio, Stefano, Mackin, Charles, Fasoli, Andrea, Friz, Alexander M., Narayanan, Pritish, Stanisavljevic, Milos, Burr, Geoffrey W.
Publicado 2021

Hardware-aware training for large-scale and diverse deep learning inference workloads using in-memory computing-based accelerators

por Rasch, Malte J., Mackin, Charles, Le Gallo, Manuel, Chen, An, Fasoli, Andrea, Odermatt, Frédéric, Li, Ning, Nandakumar, S. R., Narayanan, Pritish, Tsai, Hsinyu, Burr, Geoffrey W., Sebastian, Abu, Narayanan, Vijay
Publicado 2023

Optimised weight programming for analogue memory-based deep neural networks

por Mackin, Charles, Rasch, Malte J., Chen, An, Timcheck, Jonathan, Bruce, Robert L., Li, Ning, Narayanan, Pritish, Ambrogio, Stefano, Le Gallo, Manuel, Nandakumar, S. R., Fasoli, Andrea, Luquin, Jose, Friz, Alexander, Sebastian, Abu, Tsai, Hsinyu, Burr, Geoffrey W.
Publicado 2022