Abstract: This disclosure describes examples for foveation rendering. A graphics processing unit (GPU) may render image content for each tile at different sizes as part of the rendering pass after a binning pass in which the GPU determined to which tiles vertices of primitives belong. The GPU may upsample the rendered image content based on the size at which GPU rendered the image content, and output the upsampled image content for later display.

Abstract: This disclosure describes examples for determining an amount of foveation that is to be applied for rendering an image. The example techniques may use information indicative of a performance of a graphics processing unit (GPU) to determine the amount of foveation that is to be applied. The GPU may render an image based on the determined amount of foveation.

Abstract: A graphics processing unit (GPU) may rasterize a primitive into a plurality of samples, wherein vertices of the primitive are associated with VRS parameters. The GPU may determine a VRS quality group that comprises one or more sub regions of the plurality of samples based at least in part on the VRS parameters. The GPU may fragment shade a VRS tile that represents the VRS quality group, wherein the VRS tile comprises fewer samples than the VRS quality group. The GPU may amplify the stored VRS tile into shaded fragments that correspond to the VRS quality group.

Abstract: This disclosure describes examples for foveation rendering. A graphics processing unit (GPU) may render image content for each tile at different sizes as part of the rendering pass after a binning pass in which the GPU determined to which tiles vertices of primitives belong. The GPU may upsample the rendered image content based on the size at which GPU rendered the image content, and output the upsampled image content for later display.

Abstract: Techniques are described in which a processor determines an expected performance level of a graphics processing unit (GPU) based on an amount of commands the GPU is to execute. The processor outputs information indicating the performance level, and the GPU adjusts its clock rate prior to execution of the commands that were used to determine the performance level.

Abstract: This disclosure describes examples for determining an amount of foveation that is to be applied for rendering an image. The example techniques may use information indicative of a performance of a graphics processing unit (GPU) to determine the amount of foveation that is to be applied. The GPU may render an image based on the determined amount of foveation.

Abstract: In an example, a method for rendering graphics data includes receiving a plurality of commands associated with a plurality of render targets, where the plurality of commands are received in an initial order. The method also includes determining an execution order for the plurality of commands including reordering one or more of the plurality of commands in a different order than the initial order based on data dependencies between commands. The method also includes executing the plurality of commands in the determined execution order.

Abstract: A graphics processing unit (GPU) may rasterize a primitive into a plurality of samples, wherein vertices of the primitive are associated with VRS parameters. The GPU may determine a VRS quality group that comprises one or more sub regions of the plurality of samples based at least in part on the VRS parameters. The GPU may fragment shade a VRS tile that represents the VRS quality group, wherein the VRS tile comprises fewer samples than the VRS quality group. The GPU may amplify the stored VRS tile into shaded fragments that correspond to the VRS quality group.

Abstract: Techniques are described in which a processor determines an expected performance level of a graphics processing unit (GPU) based on an amount of commands the GPU is to execute. The processor outputs information indicating the performance level, and the GPU adjusts its clock rate prior to execution of the commands that were used to determine the performance level.

Abstract: In an example, a method for rendering graphics data includes receiving a plurality of commands associated with a plurality of render targets, where the plurality of commands are received in an initial order. The method also includes determining an execution order for the plurality of commands including reordering one or more of the plurality of commands in a different order than the initial order based on data dependencies between commands. The method also includes executing the plurality of commands in the determined execution order.