Ray Grouping Hierarchy for Rendering Memory Bandwidth Reduction
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Solution Overview
Problem
Ray tracing in computer animation is computationally and memory-intensive, particularly when dealing with large collections of rays and dynamic scenes, as existing methods struggle to efficiently intersect rays with scene hierarchies.
Innovation Solution
The method involves grouping rays into directional sets based on their directions, organizing these sets into a hierarchy, and generating bounding cones for the hierarchy nodes. These bounding cones are then intersected with a scene hierarchy to test for potential intersections, optimizing the ray tracing process.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Illumination intensity
If traditional ray tracing methods are used to trace paths of light through pixels, then visual realism is improved, but computational cost and memory cost increase significantly
Solution Approach 1:
The patent segments the set of rays into multiple subsets based on their directional characteristics. Each subset is processed independently through separate traversal operations, dividing the computationally intensive ray-tracing task into smaller, more manageable segments that can be executed in parallel or sequentially with reduced memory bandwidth requirements.
Solution Approach 2:
The patent introduces a directional dimension for organizing and traversing rays, in addition to the traditional spatial hierarchy traversal. By sorting and traversing rays based on their directional properties, the method creates a two-dimensional traversal approach (spatial + directional) that reduces redundant computations and memory accesses while maintaining visual realism.
2Illumination intensity
If traditional ray tracing methods are used to trace paths of light through pixels, then visual realism is improved, but memory cost increases significantly
Solution Approach 1:
The patent segments the ray set into directional subsets and processes each subset through separate traversal operations. This segmentation allows the renderer to reuse scene hierarchy data structures multiple times across different ray subsets, reducing the total memory bandwidth required to load and process scene data compared to processing all rays simultaneously or in traditional sequential order.
Solution Approach 2:
By adding directional sorting as an additional dimension to ray processing, the patent enables more efficient memory access patterns. Rays with similar directions are processed together, allowing for better cache utilization and reduced memory bandwidth consumption while maintaining the quality of rendered images.
3Ease of operation
If rays are processed individually without grouping, then processing simplicity is maintained, but processing intensity and time increase
Solution Approach 1:
The patent merges rays with similar directional characteristics into subsets and processes them together through shared traversal operations. This combining of rays into groups allows the renderer to perform common computations once for the entire subset rather than individually for each ray, significantly improving processing efficiency while maintaining operational simplicity through the use of standardized traversal routines.
Data Source
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AI summary
Some aspects of the disclosure include systems and methods for grouping rays into sets according to their directions. In some cases, the rays of the directional sets may then be organized into a hierarchy according to their origins and bounding cones are generated for the hierarchy nodes. The resulting bounding cone hierarchy may be intersected with a bounding volume hierarchy or other scene hierarchy.