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- W2343125875 abstract "Algorithm-based fault tolerance (ABFT) is a low cost technique which improves the reliability of a multiprocessor system by providing concurrent error detection and location capability to it. It encodes data at the system level and modifies the algorithm to operate on the encoded data. Checks are placed on the encoded output data to expose both transient and permanent faults in the system. This thesis presents a new model for representing and designing ABFT systems. This model overcomes the shortcomings of the previous models. It considers the processors performing the checking operations to be a part of the system and allows for faults in these processors too. The thesis attacks various problems in ABFT using this new model.This work presents both deterministic and randomized methods for design of fault detecting and fault locating ABFT systems under the new model. Randomized approaches have been found to be very powerful in the design process. They give quick and easy solutions, even for those design problems for which no deterministic techniques exist. The work also gives methods for determining the fault detection and location capability of a given ABFT system, under the new model. It gives a simple diagnosis procedure for locating a single fault and a general, though more complex, diagnosis algorithm for locating more than one faults. Finally, the thesis presents deterministic as well as randomized methods for the design of such ABFT systems whose fault tolerance capabilities degrade gracefully with the occurrence of faults in the system." @default.
- W2343125875 created "2016-06-24" @default.
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- W2343125875 date "1994-01-01" @default.
- W2343125875 modified "2023-09-27" @default.
- W2343125875 title "Design and analysis of algorithm-based fault-tolerant systems under the extended graph-theoretic model" @default.
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