Martino Dazzi

Researcher, Axelera AI

Joined

May 2021

Names

Martino Dazzi (Preferred)

Emails

****@gmail.com (Confirmed)

Personal Links

Google Scholar

DBLP

Semantic Scholar

Career & Education History

Researcher

Axelera AI (axelera.ai)

2021 – Present

Researcher

International Business Machines (ibm.com)

2018 – 2021

Advisors, Relations & Conflicts

No relations added

Expertise

No areas of expertise listed

Publications

KurTail : Kurtosis-based LLM Quantization
Mohammad Sadegh Akhondzadeh, Aleksandar Bojchevski, Evangelos Eleftheriou, Martino Dazzi
- CoRR 2025
- Readers: Everyone
KURTAIL : KURTOSIS-BASED LLM QUANTIZATION
Mohammad Sadegh Akhondzadeh, Aleksandar Bojchevski, Evangelos Eleftheriou, Martino Dazzi
- SLLM
- Readers: Everyone
EfQAT: An Efficient Framework for Quantization-Aware Training
Saleh Ashkboos, Bram Verhoef, Torsten Hoefler, Evangelos Eleftheriou, Martino Dazzi
- CoRR 2024
- Readers: Everyone
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 et al. (28 additional authors not shown)
- ISSCC 2024
- Readers: Everyone
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 Christian Lemme, Joshua Alexander Harrison Klein, Marina Zapater, Alexandre Levisse, David Atienza, Davide Rossi, Francesco Conti, Martino Dazzi, Geethan Karunaratne, Irem Boybat et al. (1 additional authors not shown)
- IEEE Wirel. Commun. 2023
- Readers: Everyone
ALPINE: Analog In-Memory Acceleration With Tight Processor Integration for Deep Learning
Joshua Alexander Harrison Klein, Irem Boybat, Yasir Mahmood Qureshi, Martino Dazzi, Alexandre Levisse, Giovanni Ansaloni, Marina Zapater, Abu Sebastian, David Atienza
- IEEE Trans. Computers 2023
- Readers: Everyone
ALPINE: Analog In-Memory Acceleration with Tight Processor Integration for Deep Learning
Joshua Alexander Harrison Klein, Irem Boybat, Yasir Mahmood Qureshi, Martino Dazzi, Alexandre Levisse, Giovanni Ansaloni, Marina Zapater, Abu Sebastian, David Atienza
- CoRR 2022
- Readers: Everyone
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 et al. (9 additional authors not shown)
- Published: 01 Jan 2022, Last Modified: 22 Sept 2023
- CoRR 2022
- Readers: Everyone
Accelerating Inference of CNNs with In-Memory Computing
Martino Dazzi
- undefined 2021
- Readers: Everyone
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
- 2021 (modified: 09 Nov 2022)
- CoRR 2021
- Readers: Everyone

View all 23 publications

Co-Authors

View all 134 co-authors