In-memory-computing implementation of magnetoresistive networks for ultra-low-power computing - ANR - Agence nationale de la recherche
Conference Poster Year : 2024

In-memory-computing implementation of magnetoresistive networks for ultra-low-power computing

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

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Electronics
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https://hal.science/hal-04697202

Submitted on : Friday, September 13, 2024-3:52:46 PM

Last modification on : Wednesday, October 2, 2024-11:59:04 AM

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hal-04697202 , version 1 (13-09-2024)

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  • HAL Id : hal-04697202 , version 1

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Aymen Romdhane, Bruno Lovison-Franco, Guillaume Prenat, Lorena Anghel, Pascal Benoit, et al.. In-memory-computing implementation of magnetoresistive networks for ultra-low-power computing. Journées Scientifiques Nationales 2024 du PEPR électronique, Mar 2024, Grenoble, France. . ⟨hal-04697202⟩

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