Qualcomm Incorporated

Zilin Ying

Andrew Evan Gruber

Yun Du

Chun Yu

Chihong Zhang

Gang Zhong

Eric Demers

Fei Wei

Baoguang Yang

Minjie Huang

Yang Xia

Hongjiang Shang

Jing Han

Jian Jiang

Guofang Jiao

Tao Wang

Avinash Seetharamaiah

Alexei Vladimirovich Bourd

Lin Chen

Jonnala Gadda Nagendra Kumar

Srihari Babu Alla

Thomas Edwin Frisinger

Yang Yu

Jian Liang

Jing Wu

Richard Hammerstone

Nigel Terence Poole

Yibin Zhang

Liang Han

Vijay Kumar Donthireddy

Chunling Hu

Yuehai Du

Heng Qi

Jiexia Yu

Quanquan Xu

Sheng Gu

Liangxiao Hu

Xuhui Mao

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.

Rasterization of compute workloads

A graphics processor may obtain an indication of at least one state update from at least one CP associated with a graphics processor, where the at least one state update corresponds to one or more states in a set of states associated with the graphics processor. The graphics processor may determine whether the one or more states are stored in a cache associated with the graphics processor. The graphics processor may discard the at least one state update based on a determination that the one or more states are stored in the cache or update the cache based on a determination that the one or more states are not stored in the cache.

Elimination cache

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.

Runtime mechanism to optimize shader execution flow

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.

Methods and apparatus to facilitate a dedicated bindless state processor

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.

Dynamic wave pairing

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.

Deferred GPR allocation for texture/load instruction block

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.

Graphics instruction operands alias

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.

General purpose register and wave slot allocation in graphics processing

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.

Out of order wave slot release for a terminated wave

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.

Methods and apparatus for wave slot management

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.

General purpose register allocation in streaming processor

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San Diego, CA, United States of America

Zilin Ying