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Martino Dazzi
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2020 – today
- 2024
- [c6]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:
11.3 Metis AIPU: A 12nm 15TOPS/W 209.6TOPS SoC for Cost- and Energy-Efficient Inference at the Edge. ISSCC 2024: 212-214 - 2023
- [j6]Joshua Klein
, Irem Boybat
ALPINE: Analog In-Memory Acceleration With Tight Processor Integration for Deep Learning. IEEE Trans. Computers 72(7): 1985-1998 (2023) - [j5]Sergi Abadal, Robert Guirado, Hamidreza Taghvaee
Graphene-Based Wireless Agile Interconnects for Massive Heterogeneous Multi-Chip Processors. IEEE Wirel. Commun. 30(4): 162-169 (2023) - 2022
- [i7]Joshua Klein, Irem Boybat, Yasir Mahmood Qureshi, Martino Dazzi, Alexandre Levisse, Giovanni Ansaloni, Marina Zapater, Abu Sebastian, David Atienza:
ALPINE: Analog In-Memory Acceleration with Tight Processor Integration for Deep Learning. CoRR abs/2205.10042 (2022) - [i6]Manuel Le Gallo, Riduan Khaddam-Aljameh, Milos Stanisavljevic, Athanasios Vasilopoulos, Benedikt Kersting, Martino Dazzi, Geethan Karunaratne, Matthias Braendli
A 64-core mixed-signal in-memory compute chip based on phase-change memory for deep neural network inference. CoRR abs/2212.02872 (2022) - 2021
- [b1]Martino Dazzi:
Accelerating Inference of CNNs with In-Memory Computing. ETH Zurich, Zürich, Switzerland, 2021 - [j4]Martino Dazzi, Abu Sebastian
Accelerating Inference of Convolutional Neural Networks Using In-memory Computing. Frontiers Comput. Neurosci. 15: 674154 (2021) - [j3]Martino Dazzi
Efficient Pipelined Execution of CNNs Based on In-Memory Computing and Graph Homomorphism Verification. IEEE Trans. Computers 70(6): 922-935 (2021) - [j2]Hayate Okuhara
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. 29(10): 1800-1811 (2021) - [c5]Joshua Klein, Alexandre Levisse, Giovanni Ansaloni, David Atienza, Marina Zapater, Martino Dazzi, Geethan Karunaratne, Irem Boybat, Abu Sebastian
Architecting more than Moore: wireless plasticity for massive heterogeneous computer architectures (WiPLASH). CF 2021: 191-193 - [i5]Hayate Okuhara, Ahmed Elnaqib, Martino Dazzi, Pierpaolo Palestri, Simone Benatti, Luca Benini, Davide Rossi:
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 abs/2109.01961 (2021) - 2020
- [i4]Kornilios Kourtis, Martino Dazzi, Nikolas Ioannou, Tobias Grosser, Abu Sebastian, Evangelos Eleftheriou:
Compiling Neural Networks for a Computational Memory Accelerator. CoRR abs/2003.04293 (2020) - [i3]Sergi Abadal, Robert Guirado
Graphene-based Wireless Agile Interconnects for Massive Heterogeneous Multi-chip Processors. CoRR abs/2011.04107 (2020)
2010 – 2019
- 2019
- [j1]Evangelos Eleftheriou, Manuel Le Gallo, S. R. Nandakumar, Christophe Piveteau
Deep learning acceleration based on in-memory computing. IBM J. Res. Dev. 63(6): 7:1-7:16 (2019) - [c4]Alessandro Cevrero, Ilter Özkaya, Pier Andrea Francese
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 2019: 112-114 - [c3]Alessio Cortiula, Martino Dazzi, Mattia Marcon, Davide Menin
A simple and fast tool for the modelling of inter-symbol interference and equalization in high-speed chip-to-chip interfaces. MIPRO 2019: 112-116 - [c2]Abu Sebastian
Computational memory-based inference and training of deep neural networks. VLSI Circuits 2019: 168- - [i2]Vinay Joshi, Manuel Le Gallo, Irem Boybat, Simon Haefeli, Christophe Piveteau, Martino Dazzi, Bipin Rajendran, Abu Sebastian, Evangelos Eleftheriou:
Accurate deep neural network inference using computational phase-change memory. CoRR abs/1906.03138 (2019) - [i1]Martino Dazzi, Abu Sebastian, Pier Andrea Francese, Thomas P. Parnell, Luca Benini, Evangelos Eleftheriou:
5 Parallel Prism: A topology for pipelined implementations of convolutional neural networks using computational memory. CoRR abs/1906.03474 (2019) - 2018
- [c1]Martino Dazzi, Pierpaolo Palestri, Davide Rossi, Andrea Bandiziol, Igor Loi, David E. Bellasi, Luca Benini
Sub-mW multi-Gbps chip-to-chip communication Links for Ultra-Low Power IoT end-nodes. ISCAS 2018: 1-5
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