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pro vyhledávání: '"Vasilopoulos, Athanasios"'
Autor:
Ortner, Thomas, Petschenig, Horst, Vasilopoulos, Athanasios, Renner, Roland, Brglez, Špela, Limbacher, Thomas, Piñero, Enrique, Barranco, Alejandro Linares, Pantazi, Angeliki, Legenstein, Robert
There is a growing demand for low-power, autonomously learning artificial intelligence (AI) systems that can be applied at the edge and rapidly adapt to the specific situation at deployment site. However, current AI models struggle in such scenarios,
Externí odkaz:
http://arxiv.org/abs/2405.05141
A Precision-Optimized Fixed-Point Near-Memory Digital Processing Unit for Analog In-Memory Computing
Autor:
Ferro, Elena, Vasilopoulos, Athanasios, Lammie, Corey, Gallo, Manuel Le, Benini, Luca, Boybat, Irem, Sebastian, Abu
Analog In-Memory Computing (AIMC) is an emerging technology for fast and energy-efficient Deep Learning (DL) inference. However, a certain amount of digital post-processing is required to deal with circuit mismatches and non-idealities associated wit
Externí odkaz:
http://arxiv.org/abs/2402.07549
Autor:
Lammie, Corey, Vasilopoulos, Athanasios, Büchel, Julian, Camposampiero, Giacomo, Gallo, Manuel Le, Rasch, Malte, Sebastian, Abu
Analog-Based In-Memory Computing (AIMC) inference accelerators can be used to efficiently execute Deep Neural Network (DNN) inference workloads. However, to mitigate accuracy losses, due to circuit and device non-idealities, Hardware-Aware (HWA) trai
Externí odkaz:
http://arxiv.org/abs/2401.09859
Autor:
Büchel, Julian, Vasilopoulos, Athanasios, Kersting, Benedikt, Odermatt, Frederic, Brew, Kevin, Ok, Injo, Choi, Sam, Saraf, Iqbal, Chan, Victor, Philip, Timothy, Saulnier, Nicole, Narayanan, Vijay, Gallo, Manuel Le, Sebastian, Abu
Publikováno v:
2022 International Electron Devices Meeting (IEDM), San Francisco, CA, USA, 2022, pp. 33.1.1-33.1.4
The precise programming of crossbar arrays of unit-cells is crucial for obtaining high matrix-vector-multiplication (MVM) accuracy in analog in-memory computing (AIMC) cores. We propose a radically different approach based on directly minimizing the
Externí odkaz:
http://arxiv.org/abs/2305.16647
Autor:
Gallo, Manuel Le, Khaddam-Aljameh, Riduan, Stanisavljevic, Milos, Vasilopoulos, Athanasios, Kersting, Benedikt, Dazzi, Martino, Karunaratne, Geethan, Braendli, Matthias, Singh, Abhairaj, Mueller, Silvia M., Buechel, Julian, Timoneda, Xavier, Joshi, Vinay, Egger, Urs, Garofalo, Angelo, Petropoulos, Anastasios, Antonakopoulos, Theodore, Brew, Kevin, Choi, Samuel, Ok, Injo, Philip, Timothy, Chan, Victor, Silvestre, Claire, Ahsan, Ishtiaq, Saulnier, Nicole, Narayanan, Vijay, Francese, Pier Andrea, Eleftheriou, Evangelos, Sebastian, Abu
Publikováno v:
Nature Electronics 6, 680-693 (2023)
The need to repeatedly shuttle around synaptic weight values from memory to processing units has been a key source of energy inefficiency associated with hardware implementation of artificial neural networks. Analog in-memory computing (AIMC) with sp
Externí odkaz:
http://arxiv.org/abs/2212.02872
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Autor:
Buchel, Julian, Vasilopoulos, Athanasios, Kersting, Benedikt, Lammie, Corey, Brew, Kevin, Philip, Timothy, Saulnier, Nicole, Narayanan, Vijay, Le Gallo, Manuel, Sebastian, Abu
Publikováno v:
IEEE Journal of Emerging and Selected Topics in Circuits and Systems; December 2023, Vol. 13 Issue: 4 p1052-1061, 10p
Autor:
Büchel, Julian, Vasilopoulos, Athanasios, Kersting, Benedikt, Odermatt, Frederic, Brew, Kevin, Ok, Injo, Choi, Sam, Saraf, Iqbal, Chan, Victor, Philip, Timothy, Saulnier, Nicole, Narayanan, Vijay, Gallo, Manuel Le, Sebastian, Abu
Publikováno v:
2022 International Electron Devices Meeting (IEDM).
The precise programming of crossbar arrays of unit-cells is crucial for obtaining high matrix-vector-multiplication (MVM) accuracy in analog in-memory computing (AIMC) cores. We propose a radically different approach based on directly minimizing the