Fine-Grained Interleaved Rendering for Bandwidth-Limited Image Filtering
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Solution Overview
Problem
Existing rendering technologies face challenges in efficiently parallelizing the rendering process, particularly in image-space filtering, which requires access to all frame data and often exceeds available bandwidth, degrading performance.
Innovation Solution
The method involves splitting a full frame into partial image fields, each corresponding to different pixels, and processing these fields in parallel using ray tracing and image-space filtering, allowing for independent processing and reduced data transfer between processors.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If image-space filtering is performed using all frame data, then filtering quality is improved, but bandwidth requirements increase beyond available bandwidth
Solution Approach 1:
The patent divides the full frame into multiple partial image fields (e.g., even and odd fields) that can be processed independently. Each partial field is rendered and filtered separately, reducing the data volume that needs to be transferred between processors while maintaining filtering quality through subsequent merging of the partial results.
2Productivity
If rendering is performed using traditional rasterization, then rendering speed is improved, but rendering quality and realism deteriorate
Solution Approach 1:
The patent segments the rendering process into two independent paths: a rasterization path for fast rendering of static objects and a ray-tracing path for high-quality rendering of reflections and refractions. By processing these paths separately and merging the results, the system achieves both speed and quality without the need to trade one for the other.
Solution Approach 2:
The rendering system is designed to handle multiple rendering techniques (rasterization and ray-tracing) within a single unified architecture. The system can process different types of rendering commands through appropriate paths and merge their results, making the system versatile enough to achieve both fast rasterization and high-quality ray-traced effects simultaneously.
3Manufacturing precision
If ray tracing is applied to the entire frame, then rendering quality is improved, but processing time and computational cost increase
Solution Approach 1:
The patent applies ray tracing only to specific partial image fields (e.g., odd fields) rather than the entire frame. By segmenting the frame and applying ray tracing selectively to portions that require it (such as areas with reflections or refractions), the system reduces computational cost and processing time while maintaining high rendering quality where needed.
Solution Approach 2:
Instead of applying ray tracing to every pixel of the entire frame, the system applies ray tracing partially to selected fields or regions. This partial action approach allows the system to achieve high quality where necessary while avoiding the excessive computational cost of full-frame ray tracing, especially for frames where not all areas require ray-traced processing.
Data Source
AI summary
The disclosure provides a rendering system and a rendering method that split the pixels of a full frame into partial image fields and process those image fields individually in parallel. In one example, the rendering system includes: (1) an interface configured to receive a full frame, and (2) one or more processors, coupled to the interface, that split the full frame into a plurality of partial image fields, each of the partial image fields corresponding to different pixels of the full frame, process the partial image fields in parallel; and render the full frame using the processed partial image fields. The partial image fields are processed by ray tracing each of the partial image fields using a different type of ray in parallel.