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Titolo:
ADAPTIVE UNANIMOUS VOTING (UV) SCHEME FOR DISTRIBUTED SELF-DIAGNOSIS
Autore:
LEE JY; YOUN HY; SINGH AD;
Indirizzi:
UNIV TEXAS,DEPT COMP SCI ENGN ARLINGTON TX 76019 AUBURN UNIV,DEPT ELECT ENGN AUBURN AL 36849
Titolo Testata:
I.E.E.E. transactions on computers
fascicolo: 5, volume: 44, anno: 1995,
pagine: 730 - 735
SICI:
0018-9340(1995)44:5<730:AUV(SF>2.0.ZU;2-4
Fonte:
ISI
Lingua:
ENG
Soggetto:
IDENTIFICATION; SYSTEMS;
Keywords:
ADAPTIVE VOTING; CENTRALIZED TESTING; DISTRIBUTED SELF-DIAGNOSIS; IDENTIFIABILITY; MULTIPROCESSOR ARCHITECTURES;
Tipo documento:
Note
Natura:
Periodico
Settore Disciplinare:
CompuMath Citation Index
Science Citation Index Expanded
Science Citation Index Expanded
Citazioni:
13
Recensione:
Indirizzi per estratti:
Citazione:
J.Y. Lee et al., "ADAPTIVE UNANIMOUS VOTING (UV) SCHEME FOR DISTRIBUTED SELF-DIAGNOSIS", I.E.E.E. transactions on computers, 44(5), 1995, pp. 730-735

Abstract

Distributed self-diagnosis approach proposed for multiprocessor systems is also effective for integrated circuit wafers containing a numberof identical circuits. Here the testing of each node is based on the majority voting on the test results from itself and neighboring nodes. In this paper, we identify that the unanimous voting (UV) approach always outperforms the individual voting (IV) approach, irrespective of the number of voting cells and fault rate. Based on the UV approach, the optimal number of tests is obtained. We also introduce an adaptive voting scheme by which the test overhead of the traditional voting schemes can be significantly reduced.

ASDD Area Sistemi Dipartimentali e Documentali, Università di Bologna, Catalogo delle riviste ed altri periodici
Documento generato il 27/11/20 alle ore 21:14:38