Dazzi, Martino

Accurate deep neural network inference using computational phase-change memory

Joshi, V., Le Gallo, M., Haefeli, S., Boybat, I., Nandakumar, S. R., Piveteau, C., Dazzi, M., Rajendran, B., Sebastian, A., & Eleftheriou, E. (2020) · Nature Communications

Advanced Memory and Neural ComputingAdvanced Neural Network Applications

Cited by 490

A 64-core mixed-signal in-memory compute chip based on phase-change memory for deep neural network inference

Le Gallo, M., Khaddam-Aljameh, R., Stanisavljevic, M., Vasilopoulos, A., Kersting, B., Dazzi, M., Karunaratne, G., Brändli, M., Singh, A., Müller, S. M., et al. (2023) · Nature Electronics

Advanced Memory and Neural ComputingLow-power high-performance VLSI design

Cited by 310

5 Parallel Prism: A topology for pipelined implementations of convolutional neural networks using computational memory

Dazzi, M., Sebastian, A., Francese, P. A., Parnell, T., Benini, L., & Eleftheriou, E. (2019) · arXiv

Advanced Memory and Neural ComputingParallel Computing and Optimization Techniques

Cited by 10