AbstractA fault diagnosis model for multiprocessor computers is proposed. Under normal operating mode each processor executes its own data. When an error occurs, the system is switched to the diagnostic mode. Previous input data for each processor is shifted to a different unit, to obtain a set of comparison results. We show that analysis of the test data to diagnose or locate faulty processors is equivalent to a 2-satisfiability problem. Under the assumption that discrepancy in a comparison result occurs if and only if at least one of the processors (being compared) is faulty, we prove that all the faulty processors can be diagnosed in O(n2) time, where n denotes the number of processors in the system
Error-detecting algorithms can determine when, at run time, a program deviates from its expected beh...
We studied adaptive system-level fault diagnosis for multiprocessor systems. Processors can test eac...
Constraint-based diagnosis algorithms for multiprocessors A. Petri, P. Urban, J. Altmann, M. Dal Cin...
AbstractIn this paper, a comparison model is considered for multiprocessor fault diagnosis. In this ...
We consider problems of fault diagnosis in multiprocessor systems. Preparata, Metze and Chien (1967)...
AbstractWe consider problems of fault diagnosis in multiprocessor systems. Preparata, Metze and Chie...
In this paper, we compute diagnosabilities of multiprocessor systems under two diagnosis models: the...
The paper presents a novel modelling technique for system-level fault diagnosis in massive parallel...
[[abstract]]System-level diagnosis is a crucial subject for maintaining the reliability of multiproc...
For constructing fault tolerance mechanisms in large massively parallel multiprocessor systems, a s...
In the latest years, new ideas appeared in system level diagnosis of multiprocessor systems. In cont...
Abstract—An efficient diagnosis is very important for a multi-processor system. The ability to ident...
AbstractWe consider the problem of fault diagnosis in multiprocessor systems. Every processor can te...
Abstract — The design of large dependable multiprocessor systems requires quick and precise mechanis...
This dissertation addresses the distributed self-diagnosis of multiprocessor/multicomputer systems b...
Error-detecting algorithms can determine when, at run time, a program deviates from its expected beh...
We studied adaptive system-level fault diagnosis for multiprocessor systems. Processors can test eac...
Constraint-based diagnosis algorithms for multiprocessors A. Petri, P. Urban, J. Altmann, M. Dal Cin...
AbstractIn this paper, a comparison model is considered for multiprocessor fault diagnosis. In this ...
We consider problems of fault diagnosis in multiprocessor systems. Preparata, Metze and Chien (1967)...
AbstractWe consider problems of fault diagnosis in multiprocessor systems. Preparata, Metze and Chie...
In this paper, we compute diagnosabilities of multiprocessor systems under two diagnosis models: the...
The paper presents a novel modelling technique for system-level fault diagnosis in massive parallel...
[[abstract]]System-level diagnosis is a crucial subject for maintaining the reliability of multiproc...
For constructing fault tolerance mechanisms in large massively parallel multiprocessor systems, a s...
In the latest years, new ideas appeared in system level diagnosis of multiprocessor systems. In cont...
Abstract—An efficient diagnosis is very important for a multi-processor system. The ability to ident...
AbstractWe consider the problem of fault diagnosis in multiprocessor systems. Every processor can te...
Abstract — The design of large dependable multiprocessor systems requires quick and precise mechanis...
This dissertation addresses the distributed self-diagnosis of multiprocessor/multicomputer systems b...
Error-detecting algorithms can determine when, at run time, a program deviates from its expected beh...
We studied adaptive system-level fault diagnosis for multiprocessor systems. Processors can test eac...
Constraint-based diagnosis algorithms for multiprocessors A. Petri, P. Urban, J. Altmann, M. Dal Cin...