Adaptive Texel to Pixel Ratio Sample Rate for Display Rendering
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Solution Overview
Problem
Current rendering systems inefficiently consume power and GPU bandwidth by using a fixed sample rate for texel to pixel ratio, which is not adaptable and leads to suboptimal performance and power efficiency, especially in foveated rendering or multi-resolution scenarios.
Innovation Solution
Implementing an adaptive texel to pixel ratio sample rate configuration that blends focus area scene surfaces at a higher sample rate than non-focus area surfaces, allowing for dynamic adjustment based on performance factors and application parameters to optimize rendering efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If a fixed sample rate is used for texel to pixel ratio rendering, then device complexity is reduced and ease of operation is improved, but power consumption increases and rendering efficiency decreases
Solution Approach 1:
The patent implements dynamic sample rate adjustment by transitioning from a fixed sample rate to a variable sample rate system that adapts to scene requirements. The display engine selectively applies different sample rates to different regions (focus vs non-focus areas) based on performance factors and application parameters, optimizing power consumption while maintaining rendering quality where needed.
Solution Approach 2:
The patent applies different sample rates to different spatial regions of the rendered scene. Focus area surfaces receive higher sample rates for quality rendering, while non-focus area surfaces use lower sample rates to reduce power consumption. This local differentiation resolves the contradiction by concentrating computational resources only where visually necessary.
2Device complexity
If a fixed sample rate is used for texel to pixel ratio rendering, then device complexity is reduced, but rendering efficiency and performance decrease
Solution Approach 1:
The system dynamically adjusts sample rates based on real-time performance factors and application parameters. By making the sample rate variable rather than fixed, the system can optimize rendering efficiency for different scene conditions while maintaining manageable device complexity through automated control.
Solution Approach 2:
The patent changes the sample rate parameter adaptively based on performance factors and application requirements. This parameter adjustment allows the system to optimize rendering efficiency without fundamentally changing the rendering architecture, maintaining device complexity at acceptable levels while improving productivity.
3Manufacturing precision
If higher sample rate is used for focus area surfaces, then visual quality improves, but power consumption and GPU bandwidth usage increase
Solution Approach 1:
The patent applies high sample rates only to focus area surfaces where visual quality is critical, while using lower sample rates for non-focus area surfaces. This localized application of high quality rendering maintains visual quality where needed while significantly reducing overall power consumption compared to uniform high sample rate rendering.
Solution Approach 2:
The system changes the sample rate parameter based on the importance and location of scene surfaces. By adjusting this parameter dynamically for different regions, the system achieves high visual quality for focus areas while controlling power consumption through lower sample rates in less critical areas.
4Manufacturing precision
If higher sample rate is used for focus area surfaces, then visual quality improves, but GPU bandwidth consumption increases
Solution Approach 1:
The patent concentrates GPU bandwidth resources on focus area surfaces by applying higher sample rates only where visual quality is paramount. Non-focus area surfaces receive reduced sample rates, thereby reducing overall GPU bandwidth consumption while maintaining visual quality in critical regions.
Data Source
AI summary
Systems, apparatuses and methods may provide away to blend two or more of the scene surfaces based on the focus area and an offload threshold. More particularly, systems, apparatuses and methods may provide a way to blend, by a display engine, two or more of the focus area scene surfaces and blended non-focus area scene surfaces. The systems, apparatuses and methods may include a graphics engine to render the focus area surfaces at a higher sample rate than the non-focus area scene surfaces.