Abstract: Various memory management apparatus and methods are disclosed. In one aspect, a method of memory management is provided that includes receiving a data block in a virtual space, sub-dividing the data block into plural sub-blocks of the same size, and mapping the plural sub-blocks to a physical space according to a selected memory mapping efficiency mode.

Abstract: A system and method for allocating commands in processing is disclosed. The system and method includes an application running on a computer system that provides commands to be executed on one of a plurality of processors capable of executing the commands, the commands provided through an application programming interface, a device driver that buffers the streamed commands and converts the streamed commands into a format used by a GPU, and an operating system that builds a command buffer by grouping a plurality of converted commands based on an allocation for an available processor, wherein the available processor is determined in the interface between the device driver and the operating system. The available processor is one of the plurality of processors capable of executing the commands that receives the command buffer from the operating system, queues the command buffer and performs an asynchronous submission of the command buffer to the GPU, and the GPU executes the command buffer.

Abstract: A method, a non-transitory computer readable medium, and a processor for performing display shading for computer graphics are presented. Frame data is received by a display shader, the frame data including at least a portion of a rendered frame. Parameters for modifying the frame data are received by the display shader. The parameters are applied to the frame data by the display shader to create a modified frame. The modified frame is displayed on a display device.

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: 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.