Martino Dazzi - IBM Research Ruschlikon

基本信息

Career Trajectory

Bio

Martino Dazzi received the BSc and MSc (cum laude) degrees in electronic engineering from the University of Udine, Italy, in 2015 and 2017, respectively. In 2021, he co-founded Axelera AI, where he currently holds a position as Algorithm and Quantization researcher. His main research interest is in machine learning, specifically in energy-efficient, reduced-precision design of neural networks.

Research Interests

Papers共 18 篇Author StatisticsCo-AuthorSimilar Experts

By YearBy Citation主题筛选期刊级别筛选合作者筛选合作机构筛选

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

2024 IEEE International Solid-State Circuits Conference (ISSCC) (2024): 212-214

Cited0Views0EIBibtex

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 TRANSACTIONS ON COMPUTERSno. 7 (2023): 1985-1998

Cited14Views0EIWOSBibtex

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 Transactions on Very Large Scale Integration (VLSI) Systems（2021）

Cited1Views0EIWOSBibtex

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

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

IEEE Transactions on Computers（2021）

Cited17Views0EIWOSBibtex

Accelerating Inference of Convolutional Neural Networks Using In-memory Computing

Martino Dazzi,Abu Sebastian,Luca Benini,Evangelos Eleftheriou

Frontiers in Computational Neuroscience（2021）

Cited9Views0EIWOSBibtex

A Simple Modelling Tool for Fast Combined Simulation of Interconnections, Inter-Symbol Interference and Equalization in High-Speed Serial Interfaces for Chip-to-Chip Communications

Davide Menin,Thomas Bernardi,Alessio Cortiula,Martino Dazzi,Alessio De Prà, Mattia Marcon, Marco Scapol,Andrea Bandiziol,Francesco Brandonisio,Andrea Cristofoli,Werner Grollitsch,Roberto Nonis,Pierpaolo Palestri

Advances in science, technology and engineering systems journalno. 2 (2020): 527-536

Cited0Views0Bibtex

Accurate Deep Neural Network Inference Using Computational Phase-Change Memory

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

Nature Communications（2020）

Cited265Views0EIWOSNATUREBibtex

265

Author Statistics

Co-Author

Co-Institution

D-Core

合作者
学生
导师

No result temporarily, you can search similar Scholar with the same research interest

Data Disclaimer

The page data are from open Internet sources, cooperative publishers and automatic analysis results through AI technology. We do not make any commitments and guarantees for the validity, accuracy, correctness, reliability, completeness and timeliness of the page data. If you have any questions, please contact us by email: report@aminer.cn