Abstract: Reordering workloads to improve concurrency across threads in processor-based devices is disclosed herein. In this regard, in some exemplary aspects, a processor-based device receives a plurality of workloads from a requestor, and constructs a weighted dependency graph based on the plurality of workloads. The weighted dependency graph comprises a plurality of vertices that each correspond to a workload of the plurality of workloads, and further comprises one or more directed edges that each connects two vertices of the plurality of vertices and indicates a dependency between a corresponding two workloads of the plurality of workloads. After generating the weighted dependency graph, the processor-based device performs a topological sort of the weighted dependency graph, and generates a workload execution order based on the topological sort.

Abstract: Aspects presented herein relate to methods and devices for graphics processing including an apparatus, e.g., a GPU or a CPU. The apparatus may obtain visibility information for a set of primitives in at least one frame associated with the graphics processing, where the at least one frame includes a plurality of bins, such that at least one bin of the plurality of bins includes at least one primitive of the set of primitives. The apparatus may also configure a density map based on the visibility information for the set of primitives, where the density map includes density data associated with an amount of the set of primitives in each of the plurality of bins. Further, the apparatus may map the density data for each of the plurality of bins to a shading rate for each of the plurality of bins.

Abstract: Aspects presented herein relate to methods and devices for graphics processing including an apparatus, e.g., a GPU or a CPU. The apparatus may obtain visibility information for a set of primitives in at least one frame associated with the graphics processing, where the at least one frame includes a plurality of bins, such that at least one bin of the plurality of bins includes at least one primitive of the set of primitives. The apparatus may also configure a density map based on the visibility information for the set of primitives, where the density map includes density data associated with an amount of the set of primitives in each of the plurality of bins. Further, the apparatus may map the density data for each of the plurality of bins to a shading rate for each of the plurality of bins.

Abstract: Aspects presented herein relate to methods and devices for graphics processing including an apparatus, e.g., a GPU or CPU. The apparatus may divide a current frame of a plurality of frames into a plurality of blocks. The apparatus may also generate an encoding value representing data for each of the plurality of blocks in the current frame. Further, the apparatus may compare the encoding value representing the data for each block in the current frame with a previous encoding value representing previous data for a corresponding block in a previous frame. The apparatus may also store the data for at least one block in the current frame if the encoding value representing the data for the at least one block is not similar to the previous encoding value representing the previous data for at least one corresponding block in the previous frame.

Abstract: Example techniques are described for generating graphics content by obtaining a rendering command for a frame of the graphics content, obtaining an eye position of a user after obtaining the rendering command, determining a foveation parameter for a region of the graphics content based on the eye position; and rendering a tile, of the frame, corresponding to the region of the graphics content using the foveation parameter and the rendering command.

Abstract: A method, a computer-readable medium, and an apparatus are provided. The apparatus may be configured to receive information indicative of a fovea region. The apparatus may be configured to identify, based on the information indicative of the fovea region, high priority bins and low priority bins. The apparatus may be configured to determine a rendering time allotment for the frame. The apparatus may be configured to determine that the rendering time allotment for the frame will be exceeded, based on an amount of time used to render the high priority bins and the low priority bins. The apparatus may be configured to render, based on the determination that the rendering time allotment for the frame will be exceeded, at least one of the low priority bins at a first quality instead of a second quality.

Abstract: Example techniques are described for generating graphics content by assigning a first region of the graphics content to a first tile, assigning a second region of the graphics content to a second tile, determining, at the first tile and at a first resolution, a first set of samples of the graphics content for each pixel of multiple pixels associated with the first region, determining, at the second tile and at a second resolution that is lower than the first resolution, a second set of samples of the graphics content for each pixel of multiple pixels associated with the second region, downsampling the first set of samples into a combined set of samples, preserving samples of the second set of samples to generate a third set of samples with preserved samples, storing the combined set of samples, and storing the third set of samples with preserved samples.

Abstract: This disclosure describes examples for foveated rendering. A graphics processing unit (GPU) may render image content for portions of an image at different sizes such as at sizes smaller than the size of the portions, and store the smaller-sized image content in system memory. The GPU or some other processing circuitry may retrieve the smaller-sized image content from the system memory, and perform resizing operations to resize the image content to its actual size.

Abstract: A method, a computer-readable medium, and an apparatus are provided. The apparatus may be configured to receive information indicative of a fovea region. The apparatus may be configured to identify, based on the information indicative of the fovea region, high priority bins and low priority bins. The apparatus may be configured to determine a rendering time allotment for the frame. The apparatus may be configured to determine that the rendering time allotment for the frame will be exceeded, based on an amount of time used to render the high priority bins and the low priority bins. The apparatus may be configured to render, based on the determination that the rendering time allotment for the frame will be exceeded, at least one of the low priority bins at a first quality instead of a second quality.

Abstract: A method, a computer-readable medium, and an apparatus are provided. The apparatus may be configured to receive information indicative of a fovea region. The apparatus may be configured to identify, based on the information indicative of the fovea region, high priority bins and low priority bins. The apparatus may be configured to determine a rendering time allotment for the frame. The apparatus may be configured to determine that the rendering time allotment for the frame will be exceeded, based on an amount of time used to render the high priority bins and the low priority bins. The apparatus may be configured to render, based on the determination that the rendering time allotment for the frame will be exceeded, at least one of the low priority bins at a first quality instead of a second quality.

Abstract: A method, a computer-readable medium, and an apparatus are provided. The apparatus may be configured to receive information indicative of a fovea region. The apparatus may be configured to identify, based on the information indicative of the fovea region, high priority bins and low priority bins. The apparatus may be configured to determine a rendering time allotment for the frame. The apparatus may be configured to determine that the rendering time allotment for the frame will be exceeded, based on an amount of time used to render the high priority bins and the low priority bins. The apparatus may be configured to render, based on the determination that the rendering time allotment for the frame will be exceeded, at least one of the low priority bins at a first quality instead of a second quality.

Abstract: Example techniques are described for generating graphics content by obtaining a rendering command for a frame of the graphics content, obtaining an eye position of a user after obtaining the rendering command, determining a foveation parameter for a region of the graphics content based on the eye position; and rendering a tile, of the frame, corresponding to the region of the graphics content using the foveation parameter and the rendering command.

Abstract: A method, an apparatus, and a computer-readable medium for wireless communication are provided. In one aspect, an example method may include storing a first rendered bin corresponding to a frame into a memory. The example method may include storing a second rendered bin including a first over rendered region into the memory. The example method may include blending the first over rendered region with a region of the first rendered bin to generate a blended region in the first rendered bin.

Abstract: Example techniques are described for generating graphics content by assigning a first region of the graphics content to a first tile, assigning a second region of the graphics content to a second tile, determining, at the first tile and at a first resolution, a first set of samples of the graphics content for each pixel of multiple pixels associated with the first region, determining, at the second tile and at a second resolution that is lower than the first resolution, a second set of samples of the graphics content for each pixel of multiple pixels associated with the second region, downsampling the first set of samples into a combined set of samples, preserving samples of the second set of samples to generate a third set of samples with preserved samples, storing the combined set of samples, and storing the third set of samples with preserved samples.

Abstract: This disclosure describes examples for foveated rendering. A graphics processing unit (GPU) may render image content for portions of an image at different sizes such as at sizes smaller than the size of the portions, and store the smaller-sized image content in system memory. The GPU or some other processing circuitry may retrieve the smaller-sized image content from the system memory, and perform resizing operations to resize the image content to its actual size.