Abstract: This disclosure provides systems, devices, apparatus, and methods, including computer programs encoded on storage media, for dynamic wave pairing. A graphics processor may allocate one or more GPU workloads to one or more wave slots of a plurality of wave slots. The graphics processor may select a first execution slot of a plurality of execution slots for executing the one or more GPU workloads. The selection may be based on one of a plurality of granularities. The graphics processor may execute, at the selected first execution slot, the one or more GPU workloads at the one of the plurality of granularities.

Abstract: A sliced graphics processing unit (GPU) architecture in processor-based devices is disclosed. In some aspects, a GPU based on a sliced GPU architecture includes multiple hardware slices. The GPU further includes a command processor (CP) circuit and an unslice primitive controller (PC_US). Upon receiving a graphics instruction from a central processing unit (CPU), the CP circuit determines a graphics workload, and transmits the graphics workload to the PC_US. The PC_US then partitions the graphics workload into multiple subbatches and distributes each subbatch to a PC_S of a hardware slice for processing.

Abstract: A sliced graphics processing unit (GPU) architecture in processor-based devices is disclosed. In some aspects, a GPU based on a sliced GPU architecture includes multiple hardware slices. The GPU further includes a command processor (CP) circuit and an unslice primitive controller (PC_US). Upon receiving a graphics instruction from a central processing unit (CPU), the CP circuit determines a graphics workload, and transmits the graphics workload to the PC_US. The PC_US then partitions the graphics workload into multiple subbatches and distributes each subbatch to a PC_S of a hardware slice for processing.

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: The present disclosure relates to methods and apparatus for graphics processing, e.g., a GPU. The apparatus may receive an image including a plurality of pixels associated with one or more workgroups and one or more pixel tiles, each of the workgroups and the pixel tiles including one or more pixels of the plurality of pixels. The apparatus may determine whether the one or more workgroups are misaligned with the one or more pixel tiles. The apparatus may determine a conversion order of the one or more workgroups when the one or more workgroups are misaligned with the one or more pixel tiles, the conversion order corresponding to a common multiple of one of the one or more workgroups and one of the one or more pixel tiles. The apparatus may convert each of the one or more workgroups based on the conversion order of the one or more workgroups.

Abstract: This disclosure provides systems, devices, apparatus, and methods, including computer programs encoded on storage media, for dynamic wave pairing. A graphics processor may allocate one or more GPU workloads to one or more wave slots of a plurality of wave slots. The graphics processor may select a first execution slot of a plurality of execution slots for executing the one or more GPU workloads. The selection may be based on one of a plurality of granularities. The graphics processor may execute, at the selected first execution slot, the one or more GPU workloads at the one of the plurality of granularities.

Abstract: The present disclosure relates to methods and apparatus for graphics processing. For example, disclosed techniques facilitate improving bindless state processing at a graphics processor. Aspects of the present disclosure can receive, at a graphics processor, a shader program including a preamble section and a main instructions section. Aspects of the present disclosure can also execute, with a scalar processor dedicated to processing preamble sections, instructions of the preamble section to implement a bindless mechanism for loading constant data associated with the shader program. Additionally, aspects of the present disclosure can distribute the main instructions section and the constant data to a streaming processor for executing the shader program.

Abstract: The present disclosure relates to methods and devices for graphics processing including an apparatus, e.g., a GPU. The apparatus may receive a plurality of workloads based on a workload order, each of the plurality of workloads being received in the workload order including at least a first workload and a second workload. The apparatus may also allocate one or more workloads of the plurality of workloads to one or more wave slots. Additionally, the apparatus may execute the one or more allocated workloads at the one or more wave slots, such that at least the first workload is executed at the first wave slot and the second workload is executed at the second wave slot. The apparatus may also allocate at least one other workload of the plurality of workloads to at least one previously-allocated wave slot of the one or more wave slots.

Abstract: A graphics processing unit (GPU) utilizes block general purpose registers (bGPRs) to load multiple waves of samples for an instruction group into a processing pipeline and receive processed samples from the pipeline. The GPU acquires a credit for the bGPR for execution of the instruction group for a first wave using a persistent GPR and the bGPR. The GPU refunds the credit upon loading the first wave into the pipeline. The GPU executes a subsequent wave for the instruction group to load samples to the pipeline when at least one credit is available and the pipeline is processing the first wave. The GPU stores an indication of each wave that has been loaded into the pipeline in a queue. The GPU returns samples for a next wave in the queue from the pipeline to the bGPR for further processing when the physical slot of the bGPR is available.

Abstract: Methods, systems, and devices for graphic processing are described. The methods, systems, and devices may include or be associated with identifying a graphics instruction, determining that the graphics instruction is alias enabled for the device, partitioning an alias lookup table into one or more slots, allocating a slot of the alias lookup table based on the partitioning and determining that the graphics instruction is alias enabled, generating an alias instruction based on allocating the slot of the alias lookup table and determining that the graphics instruction is alias enabled, and processing the alias instruction.

Abstract: Methods, systems, and devices for image processing are described. A device may determine, based on a test operation, to terminate a first wave associated with a first slot of a set of slots. The device may update a terminated wave bit associated with the first slot based on the determination to terminate the first wave. In some aspects, the device may update a number of invocations field associated with the first wave based on the determination to terminate the first wave. The device may release the first slot based on updating the terminated wave bit and the number of invocations field. In some examples, the device may output the number of invocations field to a rendering backend of the device based on the terminated wave bit.

Abstract: Example techniques are described for generating graphics content by obtaining texture operation instructions corresponding to a texture operation, in response to determining at least one of insufficient general purpose register space is available for the texture operation or insufficient wave slots are available for the texture operation, generating an indication that the texture operation corresponds to a deferred wave, executing the texture operation, sending, to a texture processor, initial texture sample instructions corresponding to the texture operation that was executed, and receiving texture mapped data corresponding to the initial texture sample instructions.

Abstract: Methods, systems, and devices for image processing are described. A device may determine, based on a test operation, to terminate a first wave associated with a first slot of a set of slots. The device may update a terminated wave bit associated with the first slot based on the determination to terminate the first wave. In some aspects, the device may update a number of invocations field associated with the first wave based on the determination to terminate the first wave. The device may release the first slot based on updating the terminated wave bit and the number of invocations field. In some examples, the device may output the number of invocations field to a rendering backend of the device based on the terminated wave bit.

Abstract: The present disclosure relates to methods and apparatus for graphics processing. In some aspects, the apparatus can determine one or more context states of at least one context register in each of multiple wave slots. The apparatus can also send information corresponding to the one or more context states in one of the multiple wave slots to a context queue. Further, the apparatus can convert the information corresponding to the one or more context states to context information compatible with the context queue. The apparatus can also store the context information compatible with the context queue in the context queue. In some aspects, the apparatus can send the context information compatible with the context queue to one of the multiple wave slots. Additionally, the apparatus can convert the context information compatible with the context queue to the information corresponding to the one or more context states.

Abstract: Methods, systems, and devices for graphic processing are described. The methods, systems, and devices may include or be associated with identifying a graphics instruction, determining that the graphics instruction is alias enabled for the device, partitioning an alias lookup table into one or more slots, allocating a slot of the alias lookup table based on the partitioning and determining that the graphics instruction is alias enabled, generating an alias instruction based on allocating the slot of the alias lookup table and determining that the graphics instruction is alias enabled, and processing the alias instruction.

Abstract: The present disclosure relates to methods and apparatus for graphics processing. In some aspects, the apparatus can determine one or more context states of at least one context register in each of multiple wave slots. The apparatus can also send information corresponding to the one or more context states in one of the multiple wave slots to a context queue. Further, the apparatus can convert the information corresponding to the one or more context states to context information compatible with the context queue. The apparatus can also store the context information compatible with the context queue in the context queue. In some aspects, the apparatus can send the context information compatible with the context queue to one of the multiple wave slots. Additionally, the apparatus can convert the context information compatible with the context queue to the information corresponding to the one or more context states.

Abstract: Example techniques are described for generating graphics content by obtaining texture operation instructions corresponding to a texture operation, in response to determining at least one of insufficient general purpose register space is available for the texture operation or insufficient wave slots are available for the texture operation, generating an indication that the texture operation corresponds to a deferred wave, executing the texture operation, sending, to a texture processor, initial texture sample instructions corresponding to the texture operation that was executed, and receiving texture mapped data corresponding to the initial texture sample instructions.

Abstract: The present disclosure relates to methods and apparatus for graphics processing. In some aspects, multiple processing units can be in a graphics processing pipeline of a GPU. The apparatus can also group the multiple processing units into one or more processing unit clusters. In some aspects, each of the one or more processing unit clusters can correspond to one or more context registers. Additionally, the apparatus can determine one or more context states of the one or more context registers in each of the one or more processing unit clusters. Also, the apparatus can implement one or more execution counters corresponding to at least one of the one or more processing unit clusters in the graphics processing pipeline, where each of the one or more execution counters includes an execution value.

Abstract: Systems and techniques are disclosed for general purpose register dynamic allocation based on latency associated with of instructions in processor threads. A streaming processor can include a general purpose registers configured to stored data associated with threads, and a thread scheduler configured to receive allocation information for the general purpose registers, the information describing general purpose registers that are to be assigned as persistent general purpose registers (pGPRs) and volatile general purpose registers (vGPRs). The plurality of general purpose registers can be allocated according to the received information. The streaming processor can include the general purpose registers allocated according to the received information, the allocated based on execution latencies of instructions included in the threads.

Abstract: Systems and techniques are disclosed for general purpose register dynamic allocation based on latency associated with of instructions in processor threads. A streaming processor can include a general purpose registers configured to stored data associated with threads, and a thread scheduler configured to receive allocation information for the general purpose registers, the information describing general purpose registers that are to be assigned as persistent general purpose registers (pGPRs) and volatile general purpose registers (vGPRs). The plurality of general purpose registers can be allocated according to the received information. The streaming processor can include the general purpose registers allocated according to the received information, the allocated based on execution latencies of instructions included in the threads.