Study and design of MRAM-based in-memory computing architectures for machine learning applications - LIRMM - Laboratoire d’Informatique, de Robotique et de Microélectronique de Montpellier
Conference Poster Year : 2024

Study and design of MRAM-based in-memory computing architectures for machine learning applications

Bruno Lovison-Franco
ADAptive Computing
Aymen Romdhane
  • Function : Author
  • PersonId : 1421142
SPINtronique et TEchnologie des Composants
David Novo
ADAptive Computing
CV
Pascal Benoit
ADAptive Computing
CV
Guillaume Prenat
SPINtronique et TEchnologie des Composants
Lorena Anghel
SPINtronique et TEchnologie des Composants

Domains

Machine Learning [cs.LG] Embedded Systems
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https://hal-lirmm.ccsd.cnrs.fr/lirmm-04717768

Submitted on : Wednesday, October 2, 2024-10:07:42 AM

Last modification on : Thursday, November 7, 2024-4:14:03 PM

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lirmm-04717768 , version 1 (02-10-2024)

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  • HAL Id : lirmm-04717768 , version 1

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Bruno Lovison-Franco, Aymen Romdhane, David Novo, Pascal Benoit, Guillaume Prenat, et al.. Study and design of MRAM-based in-memory computing architectures for machine learning applications. Journées Scientifiques Nationales 2024 du PEPR Électronique, Mar 2024, Grenoble, France. ⟨lirmm-04717768⟩

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