BVH Node Block Allocation for Faster Ray Traversal
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Ray tracing operations in graphics processors are resource-intensive and inefficient due to the high computational demands of processing visibility queries for ray-scene intersections using traditional bounding volume hierarchies (BVHs).
Innovation Solution
Implementing a bounding volume hierarchy (BVH) with oriented bounds using quantized shared orientations to optimize ray traversal operations, reducing computational overhead and improving performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traditional bounding volume hierarchies are used for ray traversal, then ray-scene intersection processing can be performed, but computational overhead is high and resource consumption increases
Solution Approach 1:
The patent applies parameter changes by quantizing the orientation data from full floating-point representations to discrete quantized levels (e.g., 4-bit or 8-bit quantization). This transforms the continuous orientation parameters into discrete values that can be processed more efficiently by the graphics processor, reducing computational overhead while maintaining sufficient accuracy for ray-triangle intersection tests. The quantized orientation values are stored in compressed BVH node structures, enabling faster traversal and intersection testing.
2Speed
If traditional BVH traversal is implemented, then visibility queries can be processed, but traversal speed is reduced due to high computational demands
Solution Approach 1:
The patent changes the parameter representation from full-precision floating-point orientations to quantized discrete orientation values. This parameter transformation reduces the computational complexity of orientation comparisons and triangle intersection tests during BVH traversal, enabling faster processing speeds while maintaining the necessary geometric accuracy for correct visibility queries.
Solution Approach 2:
The patent segments the orientation data into discrete quantized levels rather than using continuous values. This segmentation allows the system to process only the essential orientation information needed for intersection testing, reducing computational complexity and improving traversal speed by avoiding unnecessary high-precision calculations.
3Device complexity
If quantized shared orientations are used, then computational overhead is reduced, but orientation precision may be compromised
Solution Approach 1:
The patent applies parameter changes by transforming continuous orientation parameters into quantized discrete values. This change reduces computational overhead significantly while maintaining sufficient precision for ray-triangle intersection tests. The quantization level is carefully chosen to balance between computational efficiency and geometric accuracy, ensuring that the discretized orientations still provide meaningful results for visibility determination.
Data Source
AI summary
Apparatus and method for efficient storage of BVH nodes in blocks. For example, one embodiment of an apparatus comprises: bounding volume hierarchy (BVH) construction circuitry to construct a BVH based on primitives of a graphics scene; and block allocation hardware logic coupled to or integral to the BVH construction circuitry, the block allocation hardware logic to allocate a plurality of nodes of the BVH into a plurality of blocks for storage in a cache or memory subsystem, the block allocation hardware logic to maximize a number of blocks which include a leading parent node and one or more corresponding child nodes of the plurality of nodes.