The invention relates to this method comprising the following steps, for at least one input/output parameter: duplicating and inserting a list of graphical commands associated with said parameter within a calculation module of said chain, from a current value of said parameter, obtaining a current cyclic redundancy code associated with a current micropattern, generated by executing said at least one list, comparing said current cyclic redundancy code with a reference cyclic redundancy code stored in a dedicated memory space for a substantially identical value of said parameter within a tolerance threshold, in the event of a difference in cyclic redundancy code value, automatic sanctioning of said chain at least by suspending its execution.

A system and method for monitoring processors operating in lockstep to detect mismatches in pending pipelined instructions being executed by the processors. A lockstep monitor implemented in hardware is provided to detect the mismatches in the pending pipelined instructions executing on the lockstep processors and to initiate an auto-recovery operation at the processors if a mismatch is detected.

An image display system includes a display device, a second memory circuit, and an image processor circuit. The display device includes a panel and a first memory circuit, in which the first memory circuit is configured to store first predetermined data for controlling the panel. The second memory circuit is configured to store second predetermined data. The image processor circuit is configured to read first part data in the first predetermined data and second part data in the second predetermined data and compare the first part data with the second part data. If the first part data is identical to the second part data, the image processor circuit is further configured to output a driving signal according to the second predetermined data to control the panel to start displaying an image

A method of operating a storage device may include determining a fault condition of the storage device, selecting a fault resilient mode based on the fault condition of the storage device, and operating the storage device in the selected fault resilient mode. The selected fault resilient mode may include one of a power cycle mode, a reformat mode, a reduced capacity read-only mode, a reduced capacity mode, a reduced performance mode, a read-only mode, a partial read-only mode, a temporary read-only mode, a temporary partial read-only mode, or a vulnerable mode. The storage device may be configured to perform a namespace capacity management command received from the host. The namespace capacity management command may include a resize subcommand and/or a zero-size namespace subcommand. The storage device may report the selected fault resilient mode to a host.

The present disclosure relates to an assembly including a first processor having a first core, a second core and a controller, and a second processor having a first core, and wherein the first core and the second core of the first processor, and the first core of the second processor are configured to execute a first procedure. The controller of the first processor is configured to compare a first result from executing the first procedure on the first core of the first processor with a second result from executing the first procedure on the second core of the first processor; and comparing each of the first and second results with a third result from executing the first procedure on the first core of the second processor, if the first and second results differ from one another.

Techniques are provided for neutralizing replication errors. An operation is executed upon a first storage object and is replicated as a replicated operation for execution upon a second storage object. A first error may be received for the replicated operation. Instead of transitioning to an out of sync state and aborting the operation, a wait is performed until a result of the attempted execution of the operation is received. If the first error is the same as a second error returned for the operation, then the operation and replicated operation are considered successful and a synchronous replication relationship is kept in sync. If the first error and the second error are different errors, then an error response is returned for the operation and the synchronous replication relationship is transitioned to out of sync.

The controlling apparatus for an industrial product of this disclosure has a couple of microcomputers each of which has a CPU and a memory and each of which runs the same controlling program as well as the same diagnostic program sequence parallelly and simultaneously. After the CPU of the microcomputer writes the calculated result of the diagnostic program sequence in the predetermined area of the storing area for monitoring value, such CPU send the same calculated result to the other one of the microcomputers (receiving microcomputer). The CPU of the receiving microcomputer makes a diagnosis for finding whether or not the received result is identical with its own calculated result.

A method detects and localizes a failure of a measurement acquisition channel in an acquisition system including two redundant acquisition channels for the measurement of a physical quantity in an environment. The method uses a processor with a memory storing a model including modeled values of the physical quantity based on measurements of other physical quantities in the environment. The method includes detecting a symptomatic error of a defective acquisition channel when a deviation between the measured values of the two channels reaches a detection threshold, waiting to let the acquisition system evolve for a certain period, and localizing the defective channel among the two channels, when the deviation of the values measured between the channels reaches a localization threshold different from the detection threshold. The localization is made from the comparison of the measured value of each of the channels with a modeled value of the physical quantity.

A fault detection system includes a sensor configured to measure a physical quantity and generate a measurement of the physical quantity; a first processor configured to receive the measurement, execute a first firmware based on the measurement, and output a first result of the executed first firmware; a second processor configured to receive the measurement from the sensor, execute a second firmware based on the measurement, and output a second result of the executed second firmware, wherein the first firmware and the second firmware provide a same nominal function in a diverse manner for calculating the first result and the second result, respectively, such that the first result and the second result are expected to be within a predetermined margin; and a fault detection circuit configured to detect a fault when the first result and the second result are not within the predetermined margin.

The disclosure describes a method of monitoring the dynamic power consumption of ReRAM crossbars and determines the occurrence of faults when a changepoint is detected in the monitored power-consumption time series. Statistical features are computed before and after the changepoint and train a predictive model using machine-learning techniques. In this way, the computationally expensive fault localization and error-recovery steps are carried out only when a high fault rate is estimated. With the proposed fault-detection method and the predictive model, the test time is significantly reduced while high classification accuracy for well-known AI/ML datasets using a ReRAM-based computing system (RCS) can still be ensured.