Graphics Shader Early Termination Through Cost-Modeled Control Flow
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Solution Overview
Problem
Existing graphics processing technologies face challenges in efficiently handling early termination of shaders due to redundant computations and speculative execution, leading to increased processor overhead and reduced performance.
Innovation Solution
Implement techniques for early termination of shader instructions by scheduling them in the instruction queue and employing cost-model driven fission of if-conditionals to reduce redundant work, thereby optimizing the graphics processing pipeline.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If speculative execution is used to handle early termination of shaders, then processor throughput is maintained, but processor overhead increases and performance decreases
Solution Approach 1:
The patent applies preliminary action by performing static analysis and cost modeling before shader execution to identify optimal termination points. The compiler analyzes the shader code in advance, determines where early termination can occur, and schedules termination instructions accordingly, avoiding the need for runtime speculative execution and its associated overhead.
Solution Approach 2:
The patent implements self-service through automated static analysis and cost modeling that the compiler performs independently. The system analyzes its own shader code, identifies optimization opportunities, and generates optimized execution schedules without requiring external intervention or complex runtime speculation mechanisms.
2Reliability
If redundant computations are performed in shader execution, then complete processing paths are executed, but the number of instructions executed increases and performance decreases
Solution Approach 1:
The patent extracts unnecessary computations from the shader execution path by using static analysis to identify and remove redundant instructions. The cost modeling procedure determines which computational paths can be safely terminated early, extracting only the necessary processing steps and eliminating redundant ones before execution.
Solution Approach 2:
The patent changes the execution parameters of shader instructions by dynamically adjusting the instruction schedule based on cost modeling results. The compiler modifies execution parameters such as instruction ordering and termination points to optimize performance while maintaining processing correctness.
3Device complexity
If control flow is linearized for shader execution, then instruction scheduling is simplified, but the ability to optimize early termination is reduced
Solution Approach 1:
The patent introduces dynamics by adapting the control flow structure based on optimization opportunities. The compiler performs static analysis to identify points where control flow should be delinearized to enable early termination, then applies targeted transformations to create dynamic optimization points while maintaining overall scheduling simplicity.
4Productivity
If larger wave sizes are used in GPU execution, then parallel processing capacity increases, but memory access latency increases
Solution Approach 1:
The patent applies segmentation by dividing the shader execution into smaller, manageable waves that can be processed more efficiently. The compiler analyzes the shader code and determines optimal wave size and segmentation points, breaking down large execution batches into smaller groups that reduce memory access latency while maintaining adequate parallel processing capacity.
Data Source
AI summary
Aspects presented herein relate to methods and devices for graphics processing including an apparatus, e.g., a graphics processing unit (GPU). The apparatus may detect an existence of a shader termination construct for at least one graphics shader. The apparatus may also perform a first static analysis for an identification of a set of suitable candidates for a control flow delinearization associated with the shader termination construct. Further, the apparatus may perform a second static analysis for a cost modeling procedure for the set of suitable candidates for the control flow delinearization. The apparatus may also select, based on the cost modeling procedure, a candidate of the set of suitable candidates for the control flow delinearization. The apparatus may also provide an indication of the selected candidate of the set of suitable candidates for the control flow delinearization.