Martino Dazzi - RankMe

23 papers C 1Journal 15Unranked 6

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	KurTail : Kurtosis-based LLM Quantization. EMNLP (Findings) Mohammad Sadegh Akhondzadeh, Aleksandar Bojchevski, Evangelos Eleftheriou, Martino Dazzi
2025	J	`jnl`	KurTail : Kurtosis-based LLM Quantization. CoRR Mohammad Sadegh Akhondzadeh, Aleksandar Bojchevski, Evangelos Eleftheriou, Martino Dazzi
2024	—	`conf`	11.3 Metis AIPU: A 12nm 15TOPS/W 209.6TOPS SoC for Cost- and Energy-Efficient Inference at the Edge. ISSCC 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
2024	J	`jnl`	EfQAT: An Efficient Framework for Quantization-Aware Training. CoRR Saleh Ashkboos, Bram Verhoef, Torsten Hoefler, Evangelos Eleftheriou, Martino Dazzi
2023	J	`jnl`	ALPINE: Analog In-Memory Acceleration With Tight Processor Integration for Deep Learning. IEEE Trans. Computers Joshua Alexander Harrison Klein, Irem Boybat, Yasir Mahmood Qureshi, Martino Dazzi, Alexandre Levisse, Giovanni Ansaloni, Marina Zapater, Abu Sebastian, David Atienza
2023	J	`jnl`	Graphene-Based Wireless Agile Interconnects for Massive Heterogeneous Multi-Chip Processors. IEEE Wirel. Commun. 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 Christian Lemme, Joshua Alexander Harrison Klein, Marina Zapater, Alexandre Levisse, David Atienza, Davide Rossi, Francesco Conti, Martino Dazzi, Geethan Karunaratne, Irem Boybat, Abu Sebastian
2022	J	`jnl`	A 64-core mixed-signal in-memory compute chip based on phase-change memory for deep neural network inference. CoRR 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
2022	J	`jnl`	ALPINE: Analog In-Memory Acceleration with Tight Processor Integration for Deep Learning. CoRR Joshua Alexander Harrison Klein, Irem Boybat, Yasir Mahmood Qureshi, Martino Dazzi, Alexandre Levisse, Giovanni Ansaloni, Marina Zapater, Abu Sebastian, David Atienza
2021	J	`jnl`	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. IEEE Trans. Very Large Scale Integr. Syst. Hayate Okuhara, Ahmed Elnaqib, Martino Dazzi, Pierpaolo Palestri, Simone Benatti, Luca Benini, Davide Rossi
2021	J	`jnl`	A Fully-Integrated 5mW, 0.8Gbps Energy-Efficient Chip-to-Chip Data Link for Ultra-Low-Power IoT End-Nodes in 65-nm CMOS. CoRR Hayate Okuhara, Ahmed Elnaqib, Martino Dazzi, Pierpaolo Palestri, Simone Benatti, Luca Benini, Davide Rossi
2021	—	`—`	Accelerating Inference of CNNs with In-Memory Computing. Martino Dazzi
2021	J	`jnl`	Accelerating Inference of Convolutional Neural Networks Using In-memory Computing. Frontiers Comput. Neurosci. Martino Dazzi, Abu Sebastian, Luca Benini, Evangelos Eleftheriou
2021	—	`conf`	Architecting more than Moore: wireless plasticity for massive heterogeneous computer architectures (WiPLASH). CF Joshua Alexander Harrison 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 Christian Lemme, Akshay Jain, Robert Guirado, Hamidreza Taghvaee, Sergi Abadal
2021	J	`jnl`	Efficient Pipelined Execution of CNNs Based on In-Memory Computing and Graph Homomorphism Verification. IEEE Trans. Computers Martino Dazzi, Abu Sebastian, Thomas P. Parnell, Pier Andrea Francese, Luca Benini, Evangelos Eleftheriou
2020	J	`jnl`	Compiling Neural Networks for a Computational Memory Accelerator. CoRR Kornilios Kourtis, Martino Dazzi, Nikolas Ioannou, Tobias Grosser, Abu Sebastian, Evangelos Eleftheriou
2020	J	`jnl`	Graphene-based Wireless Agile Interconnects for Massive Heterogeneous Multi-chip Processors. CoRR 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 Christian Lemme, Joshua Alexander Harrison Klein, Marina Zapater, Alexandre Levisse, David Atienza, Davide Rossi, Francesco Conti, Martino Dazzi, Geethan Karunaratne, Irem Boybat, Abu Sebastian
2019	J	`jnl`	5 Parallel Prism: A topology for pipelined implementations of convolutional neural networks using computational memory. CoRR Martino Dazzi, Abu Sebastian, Pier Andrea Francese, Thomas P. Parnell, Luca Benini, Evangelos Eleftheriou
2019	—	`conf`	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. ISSCC Alessandro Cevrero, Ilter Özkaya, Pier Andrea Francese, Matthias Brändli, Christian Menolfi, Thomas Morf, Marcel A. Kossel, Lukas Kull, Danny Luu, Martino Dazzi, Thomas Toifl
2019	—	`conf`	A simple and fast tool for the modelling of inter-symbol interference and equalization in high-speed chip-to-chip interfaces. MIPRO Alessio Cortiula, Martino Dazzi, Mattia Marcon, Davide Menin, Marco Scapol, Andrea Bandiziol, Andrea Cristofoli, Werner Grollitsch, Roberto Nonis, Pierpaolo Palestri
2019	J	`jnl`	Accurate deep neural network inference using computational phase-change memory. CoRR Vinay Joshi, Manuel Le Gallo, Irem Boybat, Simon Haefeli, Christophe Piveteau, Martino Dazzi, Bipin Rajendran, Abu Sebastian, Evangelos Eleftheriou
2019	—	`conf`	Computational memory-based inference and training of deep neural networks. VLSI Circuits 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
2019	J	`jnl`	Deep learning acceleration based on in-memory computing. IBM J. Res. Dev. 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
2018	C	`conf`	Sub-mW multi-Gbps chip-to-chip communication Links for Ultra-Low Power IoT end-nodes. ISCAS Martino Dazzi, Pierpaolo Palestri, Davide Rossi, Andrea Bandiziol, Igor Loi, David E. Bellasi, Luca Benini