Abstract: A processing accelerator includes a shared memory, and a stream accelerator, a memory-to-memory accelerator, and a common DMA controller coupled to the shared memory. The stream accelerator is configured to process a real-time data stream, and to store stream accelerator output data generated by processing the real-time data stream in the shared memory. The memory-to-memory accelerator is configured to retrieve input data from the shared memory, to process the input data, and to store, in the shared memory, memory-to-memory accelerator output data generated by processing the input data. The common DMA controller is configured to retrieve stream accelerator output data from the shared memory and transfer the stream accelerator output data to memory external to the processing accelerator; and to retrieve the memory-to-memory accelerator output data from the shared memory and transfer the memory-to-memory accelerator output data to memory external to the processing accelerator.

Abstract: Systems and methods are provided for transmitting functional safety statistics within a system. A video source produces a video data stream. A functional safety system driver accumulates functional safety statistics from at least one system and writes the functional safety statistics onto an associated system memory. A display sub-system driver writes a frame of the video data stream to the system memory. The display sub-system driver formats the functional safety statistics as video data and appends the functional safety statistics to a portion of the frame of video that is reserved for the functional safety statistics. A display sub-system transmits the frame of the video data stream to a host processor, which extracts the functional safety statistics from the video frame.

Abstract: A system includes a display subsystem. The display subsystem includes a shared buffer having allocated portions, each allocated to one of a plurality of display threads, each display thread associated with a display peripheral. The display subsystem also includes a direct memory access (DMA) engine configured to receive a request from a main processor to deallocate an amount of space from a first allocated portion associated with a first display thread. In response to receiving the request, the DMA engine deallocates the amount of space from the first allocated portion and shifts the allocated portions of at least some of other display threads to maintain contiguity of the allocated portions and concatenate free space at an end of the shared buffer.

Abstract: A computer vision system is provided that includes an image generation device configured to capture consecutive two dimensional (2D) images of a scene, a first memory configured to store the consecutive 2D images, a second memory configured to store a growing window of consecutive rows of a reference image and a growing window of consecutive rows of a current image, wherein the reference image and the current image are a pair of consecutive 2D images stored in the first memory, a third memory configured to store a sliding window of pixels fetched from the growing window of the reference image, wherein the pixels in the sliding window are stored in tiles, and a dense optical flow engine (DOFE) configured to determine a dense optical flow map for the pair of consecutive 2D images, wherein the DOFE uses the sliding window as a search window for pixel correspondence searches.

Abstract: A computer vision system is provided that includes an image generation device configured to generate consecutive two dimensional (2D) images of a scene, and a dense optical flow engine (DOFE) configured to determine a dense optical flow map for pairs of the consecutive 2D images, wherein, for a pair of consecutive 2D images, the DOFE is configured to perform a predictor based correspondence search for each paxel in a current image of the pair of consecutive 2D images, wherein, for an anchor pixel in each paxel, the predictor based correspondence search evaluates a plurality of predictors to select a best matching pixel in a reference image of the pair of consecutive 2D images, and determine optical flow vectors for each pixel in a paxel based on the best matching pixel selected for the anchor pixel of the paxel.

Abstract: A system includes a display subsystem. The display subsystem includes a shared buffer having allocated portions, each allocated to one of a plurality of display threads, each display thread associated with a display peripheral. The display subsystem also includes a direct memory access (DMA) engine configured to receive a request from a main processor to deallocate an amount of space from a first allocated portion associated with a first display thread. In response to receiving the request, the DMA engine deallocates the amount of space from the first allocated portion and shifts the allocated portions of at least some of other display threads to maintain contiguity of the allocated portions and concatenate free space at an end of the shared buffer.

Abstract: A system includes a display subsystem. The display subsystem includes a shared buffer having allocated portions, each allocated to one of a plurality of display threads, each display thread associated with a display peripheral. The display subsystem also includes a direct memory access (DMA) engine configured to receive a request from a main processor to deallocate an amount of space from a first allocated portion associated with a first display thread. In response to receiving the request, the DMA engine deallocates the amount of space from the first allocated portion and shifts the allocated portions of at least some of other display threads to maintain contiguity of the allocated portions and concatenate free space at an end of the shared buffer.

Abstract: A processing accelerator includes a shared memory, and a stream accelerator, a memory-to-memory accelerator, and a common DMA controller coupled to the shared memory. The stream accelerator is configured to process a real-time data stream, and to store stream accelerator output data generated by processing the real-time data stream in the shared memory. The memory-to-memory accelerator is configured to retrieve input data from the shared memory, to process the input data, and to store, in the shared memory, memory-to-memory accelerator output data generated by processing the input data. The common DMA controller is configured to retrieve stream accelerator output data from the shared memory and transfer the stream accelerator output data to memory external to the processing accelerator; and to retrieve the memory-to-memory accelerator output data from the shared memory and transfer the memory-to-memory accelerator output data to memory external to the processing accelerator.

Abstract: A computer vision system is provided that includes an image generation device configured to generate consecutive two dimensional (2D) images of a scene, and a dense optical flow engine (DOFE) configured to determine a dense optical flow map for pairs of the consecutive 2D images, wherein, for a pair of consecutive 2D images, the DOFE is configured to perform a predictor based correspondence search for each paxel in a current image of the pair of consecutive 2D images, wherein, for an anchor pixel in each paxel, the predictor based correspondence search evaluates a plurality of predictors to select a best matching pixel in a reference image of the pair of consecutive 2D images, and determine optical flow vectors for each pixel in a paxel based on the best matching pixel selected for the anchor pixel of the paxel.

Abstract: A processing accelerator includes a shared memory, and a stream accelerator, a memory-to-memory accelerator, and a common DMA controller coupled to the shared memory. The stream accelerator is configured to process a real-time data stream, and to store stream accelerator output data generated by processing the real-time data stream in the shared memory. The memory-to-memory accelerator is configured to retrieve input data from the shared memory, to process the input data, and to store, in the shared memory, memory-to-memory accelerator output data generated by processing the input data. The common DMA controller is configured to retrieve stream accelerator output data from the shared memory and transfer the stream accelerator output data to memory external to the processing accelerator; and to retrieve the memory-to-memory accelerator output data from the shared memory and transfer the memory-to-memory accelerator output data to memory external to the processing accelerator.

Abstract: A computer vision system is provided that includes an image generation device configured to generate consecutive two dimensional (2D) images of a scene, and a dense optical flow engine (DOFE) configured to determine a dense optical flow map for pairs of the consecutive 2D images, wherein, for a pair of consecutive 2D images, the DOFE is configured to perform a predictor based correspondence search for each paxel in a current image of the pair of consecutive 2D images, wherein, for an anchor pixel in each paxel, the predictor based correspondence search evaluates a plurality of predictors to select a best matching pixel in a reference image of the pair of consecutive 2D images, and determine optical flow vectors for each pixel in a paxel based on the best matching pixel selected for the anchor pixel of the paxel.

Abstract: Systems and methods are provided for transmitting functional safety statistics within a system. A video source produces a video data stream. A functional safety system driver accumulates functional safety statistics from at least one system and writes the functional safety statistics onto an associated system memory. A display sub-system driver writes a frame of the video data stream to the system memory. The display sub-system driver formats the functional safety statistics as video data and appends the functional safety statistics to a portion of the frame of video that is reserved for the functional safety statistics. A display sub-system transmits the frame of the video data stream to a host processor, which extracts the functional safety statistics from the video frame.

Abstract: Systems and methods are provided for transmitting functional safety statistics within a system. A video source produces a video data stream. A functional safety system driver accumulates functional safety statistics from at least one system and writes the functional safety statistics onto an associated system memory. A display sub-system driver writes a frame of the video data stream to the system memory. The display sub-system driver formats the functional safety statistics as video data and appends the functional safety statistics to a portion of the frame of video that is reserved for the functional safety statistics. A display sub-system transmits the frame of the video data stream to a host processor, which extracts the functional safety statistics from the video frame.

Abstract: A computer vision system is provided that includes an image generation device configured to capture consecutive two dimensional (2D) images of a scene, a first memory configured to store the consecutive 2D images, a second memory configured to store a growing window of consecutive rows of a reference image and a growing window of consecutive rows of a current image, wherein the reference image and the current image are a pair of consecutive 2D images stored in the first memory, a third memory configured to store a sliding window of pixels fetched from the growing window of the reference image, wherein the pixels in the sliding window are stored in tiles, and a dense optical flow engine (DOFE) configured to determine a dense optical flow map for the pair of consecutive 2D images, wherein the DOFE uses the sliding window as a search window for pixel correspondence searches.

Abstract: A processing accelerator includes a shared memory, and a stream accelerator, a memory-to-memory accelerator, and a common DMA controller coupled to the shared memory. The stream accelerator is configured to process a real-time data stream, and to store stream accelerator output data generated by processing the real-time data stream in the shared memory. The memory-to-memory accelerator is configured to retrieve input data from the shared memory, to process the input data, and to store, in the shared memory, memory-to-memory accelerator output data generated by processing the input data. The common DMA controller is configured to retrieve stream accelerator output data from the shared memory and transfer the stream accelerator output data to memory external to the processing accelerator; and to retrieve the memory-to-memory accelerator output data from the shared memory and transfer the memory-to-memory accelerator output data to memory external to the processing accelerator.

Abstract: A computer vision system is provided that includes an image generation device configured to capture consecutive two dimensional (2D) images of a scene, a first memory configured to store the consecutive 2D images, a second memory configured to store a growing window of consecutive rows of a reference image and a growing window of consecutive rows of a current image, wherein the reference image and the current image are a pair of consecutive 2D images stored in the first memory, a third memory configured to store a sliding window of pixels fetched from the growing window of the reference image, wherein the pixels in the sliding window are stored in tiles, and a dense optical flow engine (DOFE) configured to determine a dense optical flow map for the pair of consecutive 2D images, wherein the DOFE uses the sliding window as a search window for pixel correspondence searches.

Abstract: A processing accelerator includes a shared memory, and a stream accelerator, a memory-to-memory accelerator, and a common DMA controller coupled to the shared memory. The stream accelerator is configured to process a real-time data stream, and to store stream accelerator output data generated by processing the real-time data stream in the shared memory. The memory-to-memory accelerator is configured to retrieve input data from the shared memory, to process the input data, and to store, in the shared memory, memory-to-memory accelerator output data generated by processing the input data. The common DMA controller is configured to retrieve stream accelerator output data from the shared memory and transfer the stream accelerator output data to memory external to the processing accelerator; and to retrieve the memory-to-memory accelerator output data from the shared memory and transfer the memory-to-memory accelerator output data to memory external to the processing accelerator.

Abstract: A system includes a display subsystem. The display subsystem includes a shared buffer having allocated portions, each allocated to one of a plurality of display threads, each display thread associated with a display peripheral. The display subsystem also includes a direct memory access (DMA) engine configured to receive a request from a main processor to deallocate an amount of space from a first allocated portion associated with a first display thread. In response to receiving the request, the DMA engine deallocates the amount of space from the first allocated portion and shifts the allocated portions of at least some of other display threads to maintain contiguity of the allocated portions and concatenate free space at an end of the shared buffer.

Abstract: A processing accelerator includes a shared memory, and a stream accelerator, a memory-to-memory accelerator, and a common DMA controller coupled to the shared memory. The stream accelerator is configured to process a real-time data stream, and to store stream accelerator output data generated by processing the real-time data stream in the shared memory. The memory-to-memory accelerator is configured to retrieve input data from the shared memory, to process the input data, and to store, in the shared memory, memory-to-memory accelerator output data generated by processing the input data. The common DMA controller is configured to retrieve stream accelerator output data from the shared memory and transfer the stream accelerator output data to memory external to the processing accelerator; and to retrieve the memory-to-memory accelerator output data from the shared memory and transfer the memory-to-memory accelerator output data to memory external to the processing accelerator.

Abstract: A computer vision system is provided that includes an image generation device configured to generate consecutive two dimensional (2D) images of a scene, and a dense optical flow engine (DOFE) configured to determine a dense optical flow map for pairs of the consecutive 2D images, wherein, for a pair of consecutive 2D images, the DOFE is configured to perform a predictor based correspondence search for each paxel in a current image of the pair of consecutive 2D images, wherein, for an anchor pixel in each paxel, the predictor based correspondence search evaluates a plurality of predictors to select a best matching pixel in a reference image of the pair of consecutive 2D images, and determine optical flow vectors for each pixel in a paxel based on the best matching pixel selected for the anchor pixel of the paxel.