Among the different types of algorithms proposed to test static random access memories (SRAMs), march tests have proven to be faster, simpler and regularly structured. A large number of march tests with different fault coverage have been published. Usually different march tests detect only a specific set of memory faults. The always growing memory production technology introduces new classes of fault, making a key hurdle the generation of new march tests. The aim of this paper is to target the whole set of realistic fault model and to provide a unique march test able to reduce the test complexity of 15.4% than state-of-the-art march algorithm

A Unique March Test Algorithm for the Wide Spread of Realistic Memory Faults in SRAMs / Benso, Alfredo; Bosio, Alberto; DI CARLO, Stefano; DI NATALE, Giorgio; Prinetto, Paolo Ernesto. - STAMPA. - (2006), pp. 155-156. (Intervento presentato al convegno IEEE 9th Workshop on Design and Diagnostics of Electronic Circuits and Systems (DDECS) tenutosi a Prague, CZ nel 18-21 Apr. 2006) [10.1109/DDECS.2006.1649602].

A Unique March Test Algorithm for the Wide Spread of Realistic Memory Faults in SRAMs

BENSO, Alfredo;BOSIO, ALBERTO;DI CARLO, STEFANO;DI NATALE, Giorgio;PRINETTO, Paolo Ernesto
2006

Abstract

Among the different types of algorithms proposed to test static random access memories (SRAMs), march tests have proven to be faster, simpler and regularly structured. A large number of march tests with different fault coverage have been published. Usually different march tests detect only a specific set of memory faults. The always growing memory production technology introduces new classes of fault, making a key hurdle the generation of new march tests. The aim of this paper is to target the whole set of realistic fault model and to provide a unique march test able to reduce the test complexity of 15.4% than state-of-the-art march algorithm
File in questo prodotto:
File Dimensione Formato  
2006-DDECS-MarchTest.pdf

accesso aperto

Tipologia: 2. Post-print / Author's Accepted Manuscript
Licenza: PUBBLICO - Tutti i diritti riservati
Dimensione 153.36 kB
Formato Adobe PDF
153.36 kB Adobe PDF Visualizza/Apri
Pubblicazioni consigliate

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11583/1499963
 Attenzione

Attenzione! I dati visualizzati non sono stati sottoposti a validazione da parte dell'ateneo