Martino Dazzi

According to our database, Martino Dazzi authored at least 19 papers between 2018 and 2024.

Collaborative distances:

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

2024

11.3 Metis AIPU: A 12nm 15TOPS/W 209.6TOPS SoC for Cost- and Energy-Efficient Inference at the Edge.

Pascal Alexander Hager, Bert Moons, Stefan Cosemans, Ioannis A. Papistas, Bram Rooseleer, Jeroen Van Loon, Roel Uytterhoeven, Florian Zaruba, Spyridoula Koumousi, Milos Stanisavljevic, Stefan Mach, Sebastiaan Mutsaards, Riduan Khaddam Aljameh, Gua Hao Khov, Brecht Machiels, Cristian Olar, Anastasios Psarras, Sander Geursen, Jeroen Vermeeren, Yi Lu, Abhishek Maringanti, Deepak Ameta, Leonidas Katselas, Noah Hütter, Manuel Schmuck, Swetha Sivadas, Karishma Sharma, Manuel Oliveira, Ramon Aerne, Nitish Sharma, Timir Soni, Beatrice Bussolino, Djordje Pesut, Michele Pallaro, Andrei Podlesnii, Alexios Lyrakis, Yannick Ruffiner, Martino Dazzi, Johannes Thiele, Koen Goetschalckx, Nazareno Bruschi, Jonas Doevenspeck, Bram Verhoef, Stefan Linz, Giuseppe Garcea, Jonathan Ferguson, Ioannis Koltsidas, Evangelos Eleftheriou

Proceedings of the IEEE International Solid-State Circuits Conference, 2024

2023

Graphene-Based Wireless Agile Interconnects for Massive Heterogeneous Multi-Chip Processors.

Sergi Abadal, Robert Guirado, Hamidreza Taghvaee, Akshay Jain, Elana Pereira de Santana, Peter Haring Bolívar, Mohamed Saeed, Renato Negra, Zhenxing Wang, Kun-Ta Wang, Max C. Lemme, Joshua Klein, Marina Zapater, Alexandre Levisse, David Atienza, Davide Rossi, Francesco Conti, Martino Dazzi, Geethan Karunaratne, Irem Boybat, Abu Sebastian

IEEE Wirel. Commun., August, 2023

ALPINE: Analog In-Memory Acceleration With Tight Processor Integration for Deep Learning.

Joshua Klein, Irem Boybat, Yasir Mahmood Qureshi, Martino Dazzi, Alexandre Levisse, Giovanni Ansaloni, Marina Zapater, Abu Sebastian, David Atienza

IEEE Trans. Computers, July, 2023

2022

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

Manuel Le Gallo, Riduan Khaddam-Aljameh, Milos Stanisavljevic, Athanasios Vasilopoulos, Benedikt Kersting, Martino Dazzi, Geethan Karunaratne, Matthias Braendli, Abhairaj Singh, Silvia M. Mueller, Julian Büchel, Xavier Timoneda Comas, Vinay Joshi, Urs Egger, Angelo Garofalo, Anastasios Petropoulos, Theodore Antonakopoulos, Kevin Brew, Samuel Choi, Injo Ok, Timothy Philip, Victor Chan, Mary Claire Silvestre, Ishtiaq Ahsan, Nicole Saulnier, Vijay Narayanan, Pier Andrea Francese, Evangelos Eleftheriou, Abu Sebastian

CoRR, 2022

2021

Accelerating Inference of CNNs with In-Memory Computing.

Martino Dazzi

PhD thesis, 2021

A Fully Integrated 5-mW, 0.8-Gbps Energy-Efficient Chip-to-Chip Data Link for Ultralow-Power IoT End-Nodes in 65-nm CMOS.

Hayate Okuhara, Ahmed Elnaqib, Martino Dazzi, Pierpaolo Palestri, Simone Benatti, Luca Benini, Davide Rossi

IEEE Trans. Very Large Scale Integr. Syst., 2021

Efficient Pipelined Execution of CNNs Based on In-Memory Computing and Graph Homomorphism Verification.

Martino Dazzi, Abu Sebastian, Thomas P. Parnell, Pier Andrea Francese, Luca Benini, Evangelos Eleftheriou

IEEE Trans. Computers, 2021

Accelerating Inference of Convolutional Neural Networks Using In-memory Computing.

Martino Dazzi, Abu Sebastian, Luca Benini, Evangelos Eleftheriou

Frontiers Comput. Neurosci., 2021

A Fully-Integrated 5mW, 0.8Gbps Energy-Efficient Chip-to-Chip Data Link for Ultra-Low-Power IoT End-Nodes in 65-nm CMOS.

Hayate Okuhara, Ahmed Elnaqib, Martino Dazzi, Pierpaolo Palestri, Simone Benatti, Luca Benini, Davide Rossi

CoRR, 2021

Architecting more than Moore: wireless plasticity for massive heterogeneous computer architectures (WiPLASH).

Joshua Klein, Alexandre Levisse, Giovanni Ansaloni, David Atienza, Marina Zapater, Martino Dazzi, Geethan Karunaratne, Irem Boybat, Abu Sebastian, Davide Rossi, Francesco Conti, Elana Pereira de Santana, Peter Haring Bolívar, Mohamed Saeed, Renato Negra, Zhenxing Wang, Kun-Ta Wang, Max C. Lemme, Akshay Jain, Robert Guirado, Hamidreza Taghvaee, Sergi Abadal

Proceedings of the CF '21: Computing Frontiers Conference, 2021

2020

Graphene-based Wireless Agile Interconnects for Massive Heterogeneous Multi-chip Processors.

Sergi Abadal, Robert Guirado, Hamidreza Taghvaee, Akshay Jain, Elana Pereira de Santana, Peter Haring Bolívar, Mohamed Saeed Elsayed, Renato Negra, Zhenxing Wang, Kun-Ta Wang, Max C. Lemme, Joshua Klein, Marina Zapater, Alexandre Levisse, David Atienza, Davide Rossi, Francesco Conti, Martino Dazzi, Geethan Karunaratne, Irem Boybat, Abu Sebastian

CoRR, 2020

Compiling Neural Networks for a Computational Memory Accelerator.

Kornilios Kourtis, Martino Dazzi, Nikolas Ioannou, Tobias Grosser, Abu Sebastian, Evangelos Eleftheriou

CoRR, 2020

2019

Deep learning acceleration based on in-memory computing.

Evangelos Eleftheriou, Manuel Le Gallo, S. R. Nandakumar, Christophe Piveteau, Irem Boybat, Vinay Joshi, Riduan Khaddam-Aljameh, Martino Dazzi, Iason Giannopoulos, Geethan Karunaratne, Benedikt Kersting, Milos Stanisavljevic, Vara Prasad Jonnalagadda, Nikolas Ioannou, Kornilios Kourtis, Pier Andrea Francese, Abu Sebastian

IBM J. Res. Dev., 2019

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

Martino Dazzi, Abu Sebastian, Pier Andrea Francese, Thomas P. Parnell, Luca Benini, Evangelos Eleftheriou

CoRR, 2019

Accurate deep neural network inference using computational phase-change memory.

Vinay Joshi, Manuel Le Gallo, Irem Boybat, Simon Haefeli, Christophe Piveteau, Martino Dazzi, Bipin Rajendran, Abu Sebastian, Evangelos Eleftheriou

CoRR, 2019

Computational memory-based inference and training of deep neural networks.

Abu Sebastian, Irem Boybat, Martino Dazzi, Iason Giannopoulos, Vara Prasad Jonnalagadda, Vinay Joshi, Geethan Karunaratne, Benedikt Kersting, Riduan Khaddam-Aljameh, S. R. Nandakumar, Anastasios Petropoulos, Christophe Piveteau, Theodore Antonakopoulos, Bipin Rajendran, Manuel Le Gallo, Evangelos Eleftheriou

Proceedings of the 2019 Symposium on VLSI Circuits, Kyoto, Japan, June 9-14, 2019, 2019

A simple and fast tool for the modelling of inter-symbol interference and equalization in high-speed chip-to-chip interfaces.

Alessio Cortiula, Martino Dazzi, Mattia Marcon, Davide Menin, Marco Scapol, Andrea Bandiziol, Andrea Cristofoli, Werner Grollitsch, Roberto Nonis, Pierpaolo Palestri

Proceedings of the 42nd International Convention on Information and Communication Technology, 2019

A 100Gb/s 1.1pJ/b PAM-4 RX with Dual-Mode 1-Tap PAM-4 / 3-Tap NRZ Speculative DFE in 14nm CMOS FinFET.

Alessandro Cevrero, Ilter Özkaya, Pier Andrea Francese, Matthias Brändli, Christian Menolfi, Thomas Morf, Marcel A. Kossel, Lukas Kull, Danny Luu, Martino Dazzi, Thomas Toifl

Proceedings of the IEEE International Solid- State Circuits Conference, 2019

2018

Sub-mW multi-Gbps chip-to-chip communication Links for Ultra-Low Power IoT end-nodes.

Martino Dazzi, Pierpaolo Palestri, Davide Rossi, Andrea Bandiziol, Igor Loi, David E. Bellasi, Luca Benini

Proceedings of the IEEE International Symposium on Circuits and Systems, 2018