Dynamic Shader Configuration Adjustment via GPU Performance Monitoring
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Solution Overview
Problem
Existing content rendering processes face challenges in optimizing performance across various devices, particularly due to unpredictable GPU performance and limited options for device-specific optimization.
Innovation Solution
A system and method for modifying shader configurations in real-time based on performance data from GPU performance counters, involving an iterative process of performance monitoring and parameter modification to enhance rendering efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If shader configurations are optimized for specific devices, then rendering performance is improved, but device compatibility and generalizability deteriorate
Solution Approach 1:
The patent implements dynamic shader configuration adjustment during runtime based on real-time GPU performance monitoring. The system continuously monitors performance counters and modifies shader parameters dynamically to adapt to different device capabilities, resolving the contradiction between optimization for specific devices and general compatibility across multiple devices.
Solution Approach 2:
The system changes shader parameters (such as precision settings, feature flags, and configuration options) based on monitored GPU performance characteristics. By adjusting these parameters dynamically, the system achieves device-specific optimization without requiring separate compiled shaders for each device, thus maintaining compatibility while improving performance.
2Manufacturing precision
If complex shader configurations are used to improve rendering quality, then visual output quality is improved, but processing burden and hardware requirements increase
Solution Approach 1:
The system applies partial optimization by selectively adjusting only certain shader parameters that have the most significant impact on performance, rather than optimizing all aspects of shader configuration. This approach improves rendering performance on capable devices while avoiding unnecessary complexity on less powerful hardware.
3Productivity
If shader parameters are adjusted to maximize hardware output, then processing efficiency is improved, but performance predictability deteriorates
Solution Approach 1:
The system implements a feedback loop where GPU performance counters are continuously monitored and used to dynamically adjust shader parameters. This closed-loop control approach allows the system to adapt to actual hardware performance characteristics, improving efficiency while maintaining predictability through data-driven decision-making rather than speculative optimization.
Data Source
AI summary
A system for modifying one or more shader configurations, the system comprising an application executing unit configured to execute an application using a first shader configuration, a performance monitoring unit configured to obtain performance data from one or more performance counters associated with a GPU used to execute the application, and a parameter modification unit configured to modify the first shader configuration in dependence upon the obtained performance data to obtain a modified shader configuration, wherein the application executing unit is configured to execute the application using the modified shader configuration as the first shader configuration, and wherein the performance monitoring unit and the parameter modification unit are configured to repeat their respective functions in an iterative manner until a termination condition is met.