SYSTEMS AND METHODS FOR DETECTION OF PERSISTENT FAULTS IN PROCESSING UNITS AND MEMORY

Systems and methods for detection of persistent faults in processing units and memory have been described. In an illustrative, non-limiting embodiment, a Machine Learning (ML) processor includes one or more registers, and a data moving circuit coupled to the one or more registers. The data moving ci...

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Bibliographic Details
Main Authors Kimelman, Paul, Fuks, Adam
Format Patent
LanguageEnglish
Published 12.09.2024
Subjects
CALCULATING
COMPUTING
COUNTING
ELECTRIC DIGITAL DATA PROCESSING
PHYSICS
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Summary:Systems and methods for detection of persistent faults in processing units and memory have been described. In an illustrative, non-limiting embodiment, a Machine Learning (ML) processor includes one or more registers, and a data moving circuit coupled to the one or more registers. The data moving circuit can be configured to select, based upon a first value stored in the one or more registers, an original one of a plurality of parallel handling circuits within the ML processor to obtain an original data processing result. The data moving circuit can also be configured to select, based upon a second value stored in the one or more registers, an alternative one of the plurality of parallel handling circuits to obtain an alternative data processing result that, upon comparison with the original data processing result, provides an indication of a persistent fault in the ML processor.
Bibliography:Application Number: US202318180894