Investigation on MCU Clustering Methodologies for Cross-Section Estimation of RAMs

6533b863fe1ef96bd12c78ea

RESEARCH PRODUCT

Investigation on MCU Clustering Methodologies for Cross-Section Estimation of RAMs

Alexandre Louis Bosser Luigi Dilillo Heikki Kettunen Georgios Tsiligiannis Viyas Gupta Frédéric Wrobel Ari Virtanen Helmut Puchner Arto Javanainen Frédéric Saigné

subject

Nuclear and High Energy Physics Engineering computer.software_genre Upset Cross section (physics)Static testing Cluster of bit flips Static random-access memory Electrical and Electronic Engineering radiation testing static test Cluster analysis dynamic test [PHYS]Physics [physics]single event upset (SEU)ta213 ta114 Cross section business.industry SEFI multiple cell upset (MCU)SRAM [SPI.TRON]Engineering Sciences [physics]/Electronics RAM Radiation testing Microcontroller MCU Nuclear Energy and Engineering SEU cluster Data mining business computer Dynamic testing

description

International audience; Various failure scenarios may occur during irradiation testing of SRAMs, which may generate different characteristic Multiple Cell Upset (MCU) error patterns. This work proposes a method based on spatial and temporal criteria to identify them.

year	journal	country	edition	language
2015-12-17

10.1109/tns.2015.2496874 https://hal.archives-ouvertes.fr/hal-01932433

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