J
Jean-Michel Portal
Researcher at Centre national de la recherche scientifique
Publications - 145
Citations - 2335
Jean-Michel Portal is an academic researcher from Centre national de la recherche scientifique. The author has contributed to research in topics: Resistive random-access memory & Artificial neural network. The author has an hindex of 25, co-authored 136 publications receiving 2047 citations. Previous affiliations of Jean-Michel Portal include Alternatives & Aix-Marseille University.
Papers
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Proceedings ArticleDOI
EEPROM memory: threshold voltage built in self diagnosis
TL;DR: A built in self-diagnosis of EEPROM memory cells, based on threshold voltage extraction is presented and complementary information is proposed to improve the classical memory diagnosis.
Journal ArticleDOI
EEPROM Diagnosis Based on Threshold Voltage Embedded Measurement
TL;DR: A built in self-diagnosis of EEPROM memory cells, based on threshold voltage extraction, is presented and complementary information is proposed to improve the classical memory diagnosis methodology.
Journal ArticleDOI
Digital Biologically Plausible Implementation of Binarized Neural Networks With Differential Hafnium Oxide Resistive Memory Arrays.
Tifenn Hirtzlin,Marc Bocquet,Bogdan Penkovsky,Jacques-Olivier Klein,Etienne Nowak,Elisa Vianello,Jean-Michel Portal,Damien Querlioz +7 more
TL;DR: This work proposes a strategy for implementing low-energy Binarized Neural Networks that employs brain-inspired concepts while retaining the energy benefits of digital electronics, and designs, fabricate, and test a memory array that is optimized for this in-memory computing scheme.
Journal ArticleDOI
Self-consistent physical modeling of set/reset operations in unipolar resistive-switching memories
TL;DR: In this article, a self-consistent physical model for set/reset operations involved in unipolar resistive switching memories integrating a transition metal oxide is presented, where set operation is described in terms of a local electrochemical reduction of the oxide leading to the formation of metallic conductive filaments.
Proceedings ArticleDOI
In-Memory and Error-Immune Differential RRAM Implementation of Binarized Deep Neural Networks
Marc Bocquet,Tifenn Hirztlin,Jacques-Olivier Klein,Etienne Nowak,Elisa Vianello,Jean-Michel Portal,Damien Querlioz +6 more
TL;DR: This work fabricated and tested a differential HfO2-based memory structure and its associated sense circuitry, which are ideal for in-memory computing and shows for the first time that this approach achieves the same reliability benefits as error correction, but without any CMOS overhead.