Abstract: A method and System on Chip (SoC) for adapting a reconfigurable hardware for an application kernel at run time is provided. The method includes obtaining a plurality of Hyper-Operations corresponding to the application. A Hyper-Operation performs one or more of a plurality of MIMO functions of the application. The method further includes retrieving compute metadata and transport metadata corresponding to each Hyper-Operation. Compute metadata specifies functionality of a Hyper-Operation and transport metadata specifies data flow path of a Hyper-Operation. Thereafter, the method maps each Hyper-Operation to a corresponding set of tiles in the hardware. The set of tiles includes one or more tiles and a tile performs one or more of the plurality of MIMO functions of the application.

Abstract: A method and System on Chip (SoC) for adapting a runtime reconfigurable hardware to decode a video stream, wherein the video stream is of one of a plurality of video types is disclosed. The method includes determining a video type of the video stream and identifying at least one functional block of a set of functional blocks in the runtime reconfigurable hardware in response to determining the video type. A functional block of the set of functional blocks corresponds to a decoding sub function of the video type. Thereafter, the method configures the one or more functional block based on a plurality of configuration parameters of the video type. Further, the method decodes the video stream using the one or more functional blocks in response of configuring the one or more functional block.

Abstract: A method for efficient low power motion estimation of a digital video image is provided in which processing requirements are reduced based upon the content being processed. The method performs motion estimation of a current video image using a search window of a previous video image. The method may include forming mean pyramids of a reference macroblock and the search area and a full search at a lowest resolution. A number of candidate motion vectors (CMVs) propagated to lower levels may be dependent on a quantized average deviation estimate (QADE) of a current macroblock and the maximum distortion band obtained during training for that QADE value at that particular level. Training over a sequence may be triggered at the beginning of every sequence. This training technique may be used to determine the value of the maximum distortion band for all QADEs of the macroblocks occurring over the training frames.

Abstract: A method for efficient low power motion estimation of a digital video image is provided in which processing requirements are reduced based upon the content being processed. The method performs motion estimation of a current video image using a search window of a previous video image. The method may include forming mean pyramids of a reference macroblock and the search area and a full search at a lowest resolution. A number of candidate motion vectors (CMVs) propagated to lower levels may be dependent on a quantized average deviation estimate (QADE) of a current macroblock and the maximum distortion band obtained during training for that QADE value at that particular level. Training over a sequence may be triggered at the beginning of every sequence. This training technique may be used to determine the value of the maximum distortion band for all QADEs of the macroblocks occurring over the training frames.