Abstract: The disclosure describes techniques for a self-test of a graphics processing unit (GPU) independent of instructions from another processing device. The GPU may perform the self-test in response to a determination that the GPU enters an idle mode. The self-test may be based on information indicating a safety level, where the safety level indicates how many faults in circuits or memory blocks of the GPU need to be detected.

Abstract: The disclosure describes techniques for a self-test of a graphics processing unit (GPU) independent of instructions from another processing device. The GPU may perform the self-test in response to a determination that the GPU enters an idle mode. The self-test may be based on information indicating a safety level, where the safety level indicates how many faults in circuits or memory blocks of the GPU need to be detected.

Abstract: The disclosure describes techniques for a self-test of a graphics processing unit (GPU) independent of instructions from another processing device. The GPU may perform the self-test in response to a determination that the GPU enters an idle mode. The self-test may be based on information indicating a safety level, where the safety level indicates how many faults in circuits or memory blocks of the GPU need to be detected.

Abstract: A graphics processing unit (GPU) of a GPU subsystem of a computing device operates in a first rendering mode to process graphics data to produce a first image. The GPU operates in a second rendering mode to process the graphics data to produce a second image. The computing device detects whether a fault has occurred in the GPU subsystem based at least in part on comparing the first image with the second image.

Abstract: A graphics processing unit (GPU) of a GPU subsystem of a computing device processes graphics data to produce a plurality of portions of a first image, and to produce a plurality of portions of a second image. The GPU generates a plurality of data integrity check values associated with the plurality of portions of the first image, and a plurality of data integrity check values associated with the plurality of portions of the second image. The GPU determines whether each of the plurality of portions of the second image matches a corresponding portion of the first image. The GPU determines, prior to producing every portion of the second image, whether an operational fault has occurred in the GPU subsystem based at least in part the determination of whether each of the plurality of portions of the second image matches a corresponding portion of the first image.

Abstract: Techniques of this disclosure may include processing data using one or more processors to produce a first image, including storing intermediate first results of processing the data in at least one internal memory of the one or more processors according to a first memory access pattern, processing the data using the one or more processors to produce a second image, including storing intermediate second results of processing the data in the at least one internal memory of the one or more processors according to a second memory access pattern, wherein the second memory access pattern is different than the first memory access pattern, comparing the first image to the second image, and generating an interrupt if the comparison indicates that the first image is different than the second image.

Abstract: A graphics processing unit (GPU) of a GPU subsystem of a computing device processes graphics data to produce a plurality of portions of a first image, and to produce a plurality of portions of a second image. The GPU generates a plurality of data integrity check values associated with the plurality of portions of the first image, and a plurality of data integrity check values associated with the plurality of portions of the second image. The GPU determines whether each of the plurality of portions of the second image matches a corresponding portion of the first image. The GPU determines, prior to producing every portion of the second image, whether an operational fault has occurred in the GPU subsystem based at least in part the determination of whether each of the plurality of portions of the second image matches a corresponding portion of the first image.

Abstract: A graphics processing unit (GPU) of a GPU subsystem of a computing device operates in a first rendering mode to process graphics data to produce a first image. The GPU operates in a second rendering mode to process the graphics data to produce a second image. The computing device detects whether a fault has occurred in the GPU subsystem based at least in part on comparing the first image with the second image.

Abstract: The disclosure describes techniques for a self-test of a graphics processing unit (GPU) independent of instructions from another processing device. The GPU may perform the self-test in response to a determination that the GPU enters an idle mode. The self-test may be based on information indicating a safety level, where the safety level indicates how many faults in circuits or memory blocks of the GPU need to be detected.

Abstract: Techniques of this disclosure may include processing data using one or more processors to produce a first image, including storing intermediate first results of processing the data in at least one internal memory of the one or more processors according to a first memory access pattern, processing the data using the one or more processors to produce a second image, including storing intermediate second results of processing the data in the at least one internal memory of the one or more processors according to a second memory access pattern, wherein the second memory access pattern is different than the first memory access pattern, comparing the first image to the second image, and generating an interrupt if the comparison indicates that the first image is different than the second image.