Zobrazeno 1 - 10
of 223
pro vyhledávání: '"A. Levisse"'
Autor:
Caon, Michele, Choné, Clément, Schiavone, Pasquale Davide, Levisse, Alexandre, Masera, Guido, Martina, Maurizio, Atienza, David
The widespread adoption of data-centric algorithms, particularly Artificial Intelligence (AI) and Machine Learning (ML), has exposed the limitations of centralized processing infrastructures, driving a shift towards edge computing. This necessitates
Externí odkaz:
http://arxiv.org/abs/2406.14263
Autor:
Yu, Pengbo, Levisse, Alexandre, Gupta, Mohit, Timon, Evenblij, Ansaloni, Giovanni, Catthoor, Francky, Atienza, David
The ever-increasing size and computational complexity of today's machine-learning algorithms pose an increasing strain on the underlying hardware. In this light, novel and dedicated architectural solutions are required to optimize energy efficiency b
Externí odkaz:
http://arxiv.org/abs/2212.09358
By supporting the access of multiple memory words at the same time, Bit-line Computing (BC) architectures allow the parallel execution of bit-wise operations in-memory. At the array periphery, arithmetic operations are then derived with little additi
Externí odkaz:
http://arxiv.org/abs/2209.06108
Autor:
Klein, Joshua, Boybat, Irem, Qureshi, Yasir, Dazzi, Martino, Levisse, Alexandre, Ansaloni, Giovanni, Zapater, Marina, Sebastian, Abu, Atienza, David
Analog in-memory computing (AIMC) cores offers significant performance and energy benefits for neural network inference with respect to digital logic (e.g., CPUs). AIMCs accelerate matrix-vector multiplications, which dominate these applications' run
Externí odkaz:
http://arxiv.org/abs/2205.10042
Event-based sensors have the potential to optimize energy consumption at every stage in the signal processing pipeline, including data acquisition, transmission, processing and storage. However, almost all state-of-the-art systems are still built upo
Externí odkaz:
http://arxiv.org/abs/2106.13545
Autor:
Abadal, Sergi, Guirado, Robert, Taghvaee, Hamidreza, Jain, Akshay, de Santana, Elana Pereira, Bolívar, Peter Haring, Saeed, Mohamed, Negra, Renato, Wang, Zhenxing, Wang, Kun-Ta, Lemme, Max C., Klein, Joshua, Zapater, Marina, Levisse, Alexandre, Atienza, David, Rossi, Davide, Conti, Francesco, Dazzi, Martino, Karunaratne, Geethan, Boybat, Irem, Sebastian, Abu
Publikováno v:
IEEE Wireless Communications Magazine, vol. 30, no. 4, pp. 162-169, 2023
The main design principles in computer architecture have recently shifted from a monolithic scaling-driven approach to the development of heterogeneous architectures that tightly co-integrate multiple specialized processor and memory chiplets. In suc
Externí odkaz:
http://arxiv.org/abs/2011.04107
Akademický článek
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Autor:
Alexandre Levisse, Marc Bocquet, Marco Rios, Mouhamad Alayan, Mathieu Moreau, Etienne Nowak, Gabriel Molas, Elisa Vianello, David Atienza, Jean-Michel Portal
Publikováno v:
IEEE Access, Vol 8, Pp 109297-109308 (2020)
While Resistive Random Access Memories (RRAM) are perceived nowadays as a promising solution for the future of computing, these technologies suffer from intrinsic variability regarding programming voltage, switching speed and achieved resistance valu
Externí odkaz:
https://doaj.org/article/84732fc24896498fbef413232efe5b07
Akademický článek
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Autor:
Halima Najibi, Alexandre Levisse, Giovanni Ansaloni, Marina Zapater, Miroslav Vasic, David Atienza
Publikováno v:
Transactions on Computer-Aided Design of Integrated Circuits and Systems
Flow cell arrays (FCAs) concurrently provide efficient on-chip liquid cooling and electrochemical power generation. This technology is especially promising for three-dimensional multi-processor systems-on-chip (3D MPSoCs) realized in deeply scaled te
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4fb507b045ce001428095c944b60d2b8
https://doi.org/10.1109/tcad.2022.3168257
https://doi.org/10.1109/tcad.2022.3168257