Abstract: Aspects presented herein relate to methods and devices for graphics processing including an apparatus, e.g., a GPU. The apparatus may obtain an indication of a BVH structure including a plurality of nodes, wherein the BVH structure is associated with geometry data for a plurality of primitives in a scene, wherein each of the plurality of nodes is associated with one or more primitives, where a first level BVH includes a set of first nodes and a second level BVH includes a set of second nodes. The apparatus may also allocate information for a plurality of second nodes in the set of second nodes to at least one first node in the set of first nodes. Further, the apparatus may store the allocated information for the plurality of second nodes in the set of second nodes in the at least one first node in the set of first nodes.

Abstract: Aspects presented herein relate to methods and devices for graphics processing including an apparatus, e.g., a GPU. The apparatus may obtain an indication of a BVH structure including a plurality of nodes, wherein the BVH structure is associated with geometry data for a plurality of primitives in a scene, wherein each of the plurality of nodes is associated with one or more primitives, where a first level BVH includes a set of first nodes and a second level BVH includes a set of second nodes. The apparatus may also allocate information for a plurality of second nodes in the set of second nodes to at least one first node in the set of first nodes. Further, the apparatus may store the allocated information for the plurality of second nodes in the set of second nodes in the at least one first node in the set of first nodes.

Abstract: This disclosure provides systems, devices, apparatus, and methods, including computer programs encoded on storage media, for runtime optimization of the shader execution flow. A graphics processor may obtain instruction execution data associated with a graphics workload, the instruction execution data including graphics data for a set of shader operations. The graphics processor may configure, at a first iteration, at least one predication value based on the instruction execution data including the graphics data for the set of shader operations. The graphics processor may adjust, at a second iteration, an execution flow of the graphics workload based on the configured at least one predication value, the execution flow of the graphics workload including the set of shader operations. The graphics processor may execute or refrain from executing, at the second iteration, each of the set of shader operations based on the adjusted execution flow of the graphics workload.

Abstract: Systems and techniques are provided for widening a hierarchical structure for ray tracing. For instance, a process can include obtaining a plurality of primitives of a scene object included in a first hierarchical acceleration data structure and determining one or more candidate hierarchical acceleration data structures each including the plurality of primitives. A cost metric can be determined for the one or more candidate hierarchical acceleration data structures and, based on the cost metric, a compressibility prediction associated with a candidate hierarchical acceleration data structure of the one or more candidate hierarchical acceleration data structures can be determined. An output hierarchical acceleration data structure can be generated based on the compressibility prediction.

Abstract: Systems and techniques are provided for widening a hierarchical structure for ray tracing. For instance, a process can include obtaining a plurality of primitives of a scene object included in a first hierarchical acceleration data structure and determining one or more candidate hierarchical acceleration data structures each including the plurality of primitives. A cost metric can be determined for the one or more candidate hierarchical acceleration data structures and, based on the cost metric, a compressibility prediction associated with a candidate hierarchical acceleration data structure of the one or more candidate hierarchical acceleration data structures can be determined. An output hierarchical acceleration data structure can be generated based on the compressibility prediction.

Abstract: Aspects presented herein relate to methods and devices for graphics processing including an apparatus, e.g., a GPU. The apparatus may receive a set of draw call instructions corresponding to a graphics workload, where the set of draw call instructions is associated with at least one run-time parameter. The apparatus may also obtain a first shader program associated with storing data in a system memory and at least one second shader program associated with storing data in a constant memory. Further, the apparatus may execute the first shader program or the at least one second shader program based on whether the at least one run-time parameter is less than or equal to a size of the constant memory. The apparatus may also update or maintain a configuration of a shader processor or a streaming processor based on executing the first shader program or the at least one second shader program.

Abstract: The present disclosure relates to graphics processing. An apparatus of the present disclosure may determine visibility streams corresponding to a target and a set of bins into which the target is divided. The apparatus may select one of a first rendering mode or a second rendering mode for the target based on the first visibility stream and based on the set of second visibility streams. When the first rendering mode is select, the apparatus may configure each of the set of bins into a first subset associated with a first type of rendering pass or a second subset associated with a second type of rendering pass. The apparatus may then render the target based on the selected one of the first rendering mode or the second rendering mode and, if applicable, based on the first rendering pass type or the second rendering pass type.

Abstract: Aspects presented herein relate to methods and devices for graphics processing including an apparatus, e.g., a GPU. The apparatus may perform a color analysis on at least one first frame of a plurality of frames, the color analysis being performed based on at least one image in the at least one first frame. The apparatus may also generate a frequency map for at least one second frame of the plurality of frames based on the performed color analysis. Further, the apparatus may render the at least one second frame based on the frequency map for the at least one second frame, the at least one second frame being rendered after the at least one first frame.

Abstract: Aspects presented herein relate to methods and devices for graphics processing including an apparatus, e.g., a GPU. The apparatus may perform a color analysis on at least one first frame of a plurality of frames, the color analysis being performed based on at least one image in the at least one first frame. The apparatus may also generate a frequency map for at least one second frame of the plurality of frames based on the performed color analysis. Further, the apparatus may render the at least one second frame based on the frequency map for the at least one second frame, the at least one second frame being rendered after the at least one first frame.

Abstract: The present disclosure relates to methods and apparatus for hybrid rendering of video/graphics content by a graphics processing unit. The apparatus can configure the graphics processing unit of a display apparatus to perform multiple rendering passes for a frame of a scene to be displayed on a display device. Moreover, the apparatus can control the graphics processing unit to perform a first rendering pass of the multiple rendering passes to generate a first render target that is stored in either an on-chip graphics memory of the GPU or a system of the display apparatus. The apparatus can also control the graphics processing unit to perform a second rendering pass to generate a second render target that is alternatively stored in the system memory of the display apparatus or on-chip graphics memory of the GPU.

Abstract: Methods, systems, and devices for graphics processer unit (GPU) operations are described. A device may monitor one or more states of a GPU during a duration. Based on monitoring the one or more GPU states, the device may determine an execution of a GPU command that is common to at least two GPU operations for clearing the GPU buffer. The device may determine whether the GPU clear command has previously been executed during a duration or a GPU cycle in which the device monitored the GPU states. The device may process the GPU clear command based on the determination of whether the GPU clear command has previously been executed. For example, the device may drop the GPU clear command based on the determination or modify a portion of the GPU clear command and execute at least the modified portion of the GPU clear command.

Abstract: Methods, systems, and devices for graphics processer unit (GPU) operations are described. A device may monitor one or more states of a GPU during a duration. Based on monitoring the one or more GPU states, the device may determine an execution of a GPU command that is common to at least two GPU operations for clearing the GPU buffer. The device may determine whether the GPU clear command has previously been executed during a duration or a GPU cycle in which the device monitored the GPU states. The device may process the GPU clear command based on the determination of whether the GPU clear command has previously been executed. For example, the device may drop the GPU clear command based on the determination or modify a portion of the GPU clear command and execute at least the modified portion of the GPU clear command.

Abstract: Systems, methods, and computer-readable media are provided for signing and executing graphics processing unit (GPU) commands. In some examples, a method can include receiving, by a GPU, one or more commands including one or more verification signatures generated using a processor, each verification signature of the one or more verification signatures including a first value generated based on the one or more commands; generating, by the GPU, one or more additional verification signatures associated with the one or more commands, wherein each verification signature of the one or more additional verification signatures includes a second value generated by the GPU based on the one or more commands; and determining, by the GPU, a validity of the one or more commands based on a comparison of the one or more verification signatures and the one or more additional verification signatures.

Abstract: The present disclosure relates to methods and apparatus for hybrid rendering of video/graphics content by a graphics processing unit. The apparatus can configure the graphics processing unit of a display apparatus to perform multiple rendering passes for a frame of a scene to be displayed on a display device. Moreover, the apparatus can control the graphics processing unit to perform a first rendering pass of the multiple rendering passes to generate a first render target that is stored in either an on-chip graphics memory of the GPU or a system of the display apparatus. The apparatus can also control the graphics processing unit to perform a second rendering pass to generate a second render target that is alternatively stored in the system memory of the display apparatus or on-chip graphics memory of the GPU.

Abstract: The present disclosure relates to methods and apparatus for graphics processing. An example method generally includes receiving, at a graphics processing unit (GPU), a plurality of commands corresponding to a plurality of draws across a frame, each of the plurality of commands indicating a depth test direction with respect to a low-resolution depth (LRZ) buffer for the corresponding draw. The method generally includes maintaining, at the GPU, a LRZ status buffer to store a corresponding depth test direction for a first command in time of the plurality of commands processed by the GPU. The method generally includes disabling, at the GPU, use of the LRZ buffer for depth testing for any of the plurality of commands remaining unprocessed after processing a command of the plurality of commands having a different depth test direction than the corresponding depth test direction stored in the LRZ status buffer.

Abstract: Methods, systems, and devices for processing are described. A device may parse a set of layers of a deep neural network. The set of layers may be associated with a set of machine learning operations of the deep neural network. The device may determine one or more layer parameters based on the determined set of layers. In some aspects, the device may determine an execution time associated with executing a shader dispatch based on the one or more layer parameters. The device may batch the shader dispatch to a command buffer based on the execution time and process the command buffer based on the batching. The device may determine a target execution time based on an assembly time associated with the command buffer, a processing time associated with the command buffer, a frequency level associated with processing the command buffer, the one or more layer parameters, or some combination thereof.

Abstract: The present disclosure relates to methods and apparatus for graphics processing. Aspects of the present disclosure can determine a state for each graphics state group of a plurality of graphics state groups. Further, aspects of the present disclosure can determine whether at least one graphics state group of the plurality of graphics state groups includes a changed state. Additionally, aspects of the present disclosure can communicate state information for the at least one graphics state group when the at least one graphics state group includes a changed state. In some aspects, the state information includes information regarding the state of the at least one graphics state group. Aspects of the present disclosure can also configure a draw state for the plurality of graphics state groups, where the draw state includes state information for each of the graphics state groups.

Abstract: A method for camera processing using a camera application programming interface (API) is described. A processor executing the camera API may be configured to receive instructions that specify a use case for a camera pipeline, the use case defining at least one or more processing engines of a plurality of processing engines for processing image data with the camera pipeline, wherein the plurality of processing engines includes one or more of fixed-function image signal processing nodes internal to a camera processor and one or more processing engines external to the camera processor. The processor may be further configured to route image data to the one or more processing engines specified by the instructions, and return the results of processing the image data with the one or more processing engines to the application.

Abstract: Methods, systems, and devices for processing are described. In some devices, a command processor (CP) block may determine a first workload type for processing by a graphics processing unit (GPU). The first workload type may be a low power-consuming workload type or a high power-consuming workload type. The CP block may signal a request to a graphics power management unit (GMU) of the GPU to update the upper clock rate of the GPU while processing the first workload type. The GMU may configure the upper clock rate of the GPU based on the request from the CP block and a current limit of the device, and the GPU may process the first workload type based on using the updated upper clock rate.

Abstract: Methods, systems, and devices for processing are described. A device may parse a set of layers of a deep neural network. The set of layers may be associated with a set of machine learning operations of the deep neural network. The device may determine one or more layer parameters based on the determined set of layers. In some aspects, the device may determine an execution time associated with executing a shader dispatch based on the one or more layer parameters. The device may batch the shader dispatch to a command buffer based on the execution time and process the command buffer based on the batching. The device may determine a target execution time based on an assembly time associated with the command buffer, a processing time associated with the command buffer, a frequency level associated with processing the command buffer, the one or more layer parameters, or some combination thereof.