Abstract: Systems and methods are provided for processing data. The systems and methods include multiple processors that each couple to receive commands and data, where the commands and/or data correspond to frames of video that include multiple pixels. Additionally, an interlink module is coupled to receive processed data corresponding to the frames from each of the multiple processors. The interlink module selects pixels of the frames from the processed data of one of the processors based on a predetermined pixel characteristic and outputs the frames that include the selected pixels.

Abstract: Embodiments of the present invention are directed to a method and apparatus for block based image compression with multiple non-uniform block encodings. In one embodiment, an image is divided into blocks of pixels. In one embodiment the blocks are four pixels by four pixels, but other block sizes are used in other embodiments. In one embodiment, a block of pixels in the original image is compressed using two different methods to produce a first and second compressed block. Thus, each block in the original image is represented by two, typically different, compressed blocks. In one embodiment, color associated with a pixel is determined by combining the compressed information about the pixel in the first compressed block with information about the pixel in the second compressed block. In another embodiment, global information about the image is combined with the information in the first and second compressed blocks.

Abstract: The present invention provides an analysis method that uses error metrics to determine whether an image is suitable for compression. One embodiment of the present invention can make the determination in real-time. In one embodiment, analysis methods based on four error metrics are used to determine whether a compressed image should be used. The first metric is a signal-to-noise (SNR) error metric that prevents compressed images with low SNR from being used to represent original images. Another metric is detecting the geometric correlation of pixels within individual blocks of the compressed images. The third metric is used to determine whether color mapping in the compressed images are well-mapped. A final metric is a size metric that filters images smaller than a certain size and prevents them from being compressed. As most analysis methods are integral parts of the compression process, the present invention incurs little cost collecting error metric data.

Abstract: Embodiments of a method and apparatus for using graphics memory (also referred to as video memory) for non-graphics related tasks are disclosed herein. In an embodiment a graphics processing unit (GPU) includes a VRAM cache module with hardware and software to provide and manage additional cache resourced for a central processing unit (CPU). In an embodiment, the VRAM cache module includes a VRAM cache driver that registers with the CPU, accepts read requests from the CPU, and uses the VRAM cache to service the requests. In various embodiments, the VRAM cache is configurable to be the only GPU cache or alternatively, to be a first level cache, second level cache, etc.

Abstract: Embodiments include a codec for use in a videoconferencing or similar system includes a video encoder pipeline that has a pre-processor component that is optimized to detect faces and compress the facial video data in an optimum manner. The codec has a pre-processing step that analyzes each frame on a per macroblock basis to determine the mathematical activity level per block. The activity level calculation is used as a parameter to the bitrate control module of the encoder to control the quantization, and thus the fine grained quality of the output data. An object detection module (e.g., a face detector) is placed in the pre-processing step. The object detection data is then combined with the activity level and object detection certainty value through a combinatorial algorithm comprising a weighted average or normalized multiplication process.

Abstract: A system and method for memory mapping in a multiple video processor (multi VPU) system is described. In various embodiments, rendering tasks are shared among multiple VPUs in parallel to provide improved performance and capability with minimal increased cost. In various embodiments, multiple VPUs in a system access each other's local memories to facilitate cooperative video processing. In one embodiment, each VPU in the system has the local memories of each other VPU mapped to its own graphics aperture relocation table (GART) table to facilitate access via a virtual addressing scheme. Each VPU uses the same virtual addresses for this mapping to other VPU local memories. This allows the driver to send exactly the same write commands to each VPU, including the numeric value of the destination address for operations such as writing rendered data. Thus, unique addresses need not be generated for each VPU.

Abstract: Systems and methods are provided for processing data. The systems and methods include multiple processors that each couple to receive commands and data, where the commands and/or data correspond to frames of video that include multiple pixels. Additionally, an interlink module is coupled to receive processed data corresponding to the frames from each of the multiple processors. The interlink module selects pixels of the frames from the processed data of one of the processors based on a predetermined pixel characteristic and outputs the frames that include the selected pixels.

Abstract: Embodiments of the present invention are directed to a method and apparatus for block based image compression with multiple non-uniform block encodings. In one embodiment, an image is divided into blocks of pixels. In one embodiment the blocks are four pixels by four pixels, but other block sizes are used in other embodiments. In one embodiment, a block of pixels in the original image is compressed using two different methods to produce a first and second compressed block. Thus, each block in the original image is represented by two, typically different, compressed blocks. In one embodiment, color associated with a pixel is determined by combining the compressed information about the pixel in the first compressed block with information about the pixel in the second compressed block. In another embodiment, global information about the image is combined with the information in the first and second compressed blocks.

Abstract: Embodiments of the present invention are directed to a method and apparatus for block based image compression with multiple non-uniform block encodings. In one embodiment, an image is divided into blocks of pixels. In one embodiment the blocks are four pixels by four pixels, but other block sizes are used in other embodiments. In one embodiment, a block of pixels in the original image is compressed using two different methods to produce a first and second compressed block. Thus, each block in the original image is represented by two, typically different, compressed blocks. In one embodiment, color associated with a pixel is determined by combining the compressed information about the pixel in the first compressed block with information about the pixel in the second compressed block. In another embodiment, global information about the image is combined with the information in the first and second compressed blocks.

Abstract: Systems and methods are provided for processing data. The systems and methods include multiple processors that each couple to receive commands and data, where the commands and/or data correspond to frames of video that include multiple pixels. Additionally, an interlink module is coupled to receive processed data corresponding to the frames from each of the multiple processors. The interlink module selects pixels of the frames from the processed data of one of the processors based on a predetermined pixel characteristic and outputs the frames that include the selected pixels.

Abstract: In one example an electronic device includes a housing that includes an A/C input or DC input, and at least one circuit substrate that includes electronic circuitry, such as graphics processing circuitry that receives power based on the A/C input or DC input. The electronic device also includes a divided multi-connector element differential bus connector that is coupled to the electronic circuitry. The divided multi-connector element differential bus connector includes a single housing that connects with the circuit substrate and the connector housing includes therein a divided electronic contact configuration comprised of a first group of electrical contacts divided from an adjacent second group of mirrored electrical contacts wherein each group of electrical connects includes a row of at least lower and upper contacts. In one example, the electronic device housing includes air flow passages, such as grills, adapted to provide air flow through the housing.

Abstract: A system and method for improved antialiasing in video processing is described herein. Embodiments include multiple video processors (VPUs) in a system. Each VPU performs some combination of pixel sampling and pixel center sampling (also referred to as multisampling and supersampling). Each VPU performs sampling on the same pixels or pixel centers, but each VPU creates sample positioned differently from the other VPUs corresponding samples. The VPUs each output frame data that has been multisampled and/or supersampled into a compositor that composites the frame data to produce an antialiased rendered frame. The antialiased rendered frame has an effectively doubled antialiasing factor.

Abstract: Systems and methods are provided for processing data. The systems and methods include multiple processors that each couple to receive commands and data, where the commands and/or data correspond to frames of video that include multiple pixels. Additionally, an interlink module is coupled to receive processed data corresponding to the frames from each of the multiple processors. The interlink module selects pixels of the frames from the processed data of one of the processors based on a predetermined pixel characteristic and outputs the frames that include the selected pixels.

Abstract: A system and method for frame synchronization in multiple video processing unit (VPU) systems is described. In various embodiments, multiple VPUs cooperatively process frame data for display. According to embodiments, more than one VPU may not reside on a same card such that conventional synchronization methods are available. Frame data synchronization is accomplished in various embodiments by using semaphore mechanisms and by writing values to shared memory locations. For synchronization of execution among multiple VPUs operating on a same command buffer, execution of commands by one or more VPUs is stalled based on a semaphore value or a value in a shared memory location.

Abstract: A system and method for memory mapping in a multiple video processor (multi VPU) system is described. In various embodiments, rendering tasks are shared among multiple VPUs in parallel to provide improved performance and capability with minimal increased cost. In various embodiments, multiple VPUs in a system access each other's local memories to facilitate cooperative video processing. In one embodiment, each VPU in the system has the local memories of each other VPU mapped to its own graphics aperture relocation table (GART) table to facilitate access via a virtual addressing scheme. Each VPU uses the same virtual addresses for this mapping to other VPU local memories. This allows the driver to send exactly the same write commands to each VPU, including the numeric value of the destination address for operations such as writing rendered data. Thus, unique addresses need not be generated for each VPU.

Abstract: Embodiments of the present invention are directed to a method and apparatus for block based image compression with multiple non-uniform block encodings. In one embodiment, an image is divided into blocks of pixels. In one embodiment the blocks are four pixels by four pixels, but other block sizes are used in other embodiments. In one embodiment, a block of pixels in the original image is compressed using two different methods to produce a first and second compressed block. Thus, each block in the original image is represented by two, typically different, compressed blocks. In one embodiment, color associated with a pixel is determined by combining the compressed information about the pixel in the first compressed block with information about the pixel in the second compressed block. In another embodiment, global information about the image is combined with the information in the first and second compressed blocks.

Abstract: The present invention provides an analysis method that uses error metrics to determine whether an image is suitable for compression. One embodiment of the present invention can make the determination in real-time. In one embodiment, analysis methods based on four error metrics are used to determine whether a compressed image should be used. The first metric is a signal-to-noise (SNR) error metric that prevents compressed images with low SNR from being used to represent original images. Another metric is detecting the geometric correlation of pixels within individual blocks of the compressed images. The third metric is used to determine whether color mapping in the compressed images are well-mapped. A final metric is a size metric that filters images smaller than a certain size and prevents them from being compressed. As most analysis methods are integral parts of the compression process, the present invention incurs little cost collecting error metric data.