Bounding Volume Hierarchy Reinsertion for Faster Ray Tracing
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Solution Overview
Problem
Existing methods for optimizing bounding volume hierarchies (BVHs) in ray tracing, such as Meister's parallel reinsertion method, incur significant processing resources due to iterative searches for candidate reinsertions, and may be overly restrictive in allowing only binary tree structures, which can limit computational savings.
Innovation Solution
The method restricts candidate reinsertions to nodes within a certain search floor and ceiling in the BVH hierarchy, allows non-binary reinsertions, and implements a deterministic allocation scheme using process IDs to manage node buffer slots, enabling parallel execution of reinsertion processes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If iterative searches for candidate reinsertions are performed to optimize BVH, then computational savings are achieved, but processing resources are significantly consumed
Solution Approach 1:
The patent applies partial action by performing only a limited number of iterative searches for candidate reinsertions rather than exhaustively searching all possibilities. The optimization process is terminated after a predetermined number of iterations, achieving acceptable computational savings without consuming excessive processing resources.
Solution Approach 2:
The patent segments the optimization process into discrete iterative steps, where each iteration performs a controlled search for candidate reinsertions. By dividing the overall optimization into multiple manageable iterations with predetermined limits, the processing burden is distributed and controlled.
2Productivity
If only binary tree structures are allowed in BVH, then implementation simplicity is maintained, but computational savings are limited
Solution Approach 1:
The patent changes the structural parameter of the BVH from strictly binary trees to allow non-binary tree structures. This parameter change enables nodes to have varying numbers of children rather than being constrained to exactly two children, thereby achieving greater computational savings through more flexible spatial partitioning.
Solution Approach 2:
The patent introduces dynamic flexibility in the tree structure by allowing nodes to adapt their number of children based on optimization needs. Rather than enforcing a rigid binary structure, the system dynamically determines the appropriate number of children for each node to maximize computational efficiency.
3Speed
If parallel reinsertion processes are implemented, then processing speed is improved, but deterministic results become difficult to ensure
Solution Approach 1:
The patent applies preliminary action by allocating node buffer slots deterministically before executing parallel reinsertion processes. Process IDs are assigned in advance, and node buffer allocations are predetermined based on these IDs, ensuring that parallel execution produces deterministic results regardless of execution timing variations.
Solution Approach 2:
The patent implements self-service through the deterministic allocation scheme where each parallel process serves itself by using its unique process ID to determine its node buffer slot allocation. This self-organizing mechanism eliminates the need for complex synchronization while ensuring deterministic behavior.
Data Source
AI summary
A method in a graphics processor searches for a candidate reinsertion for each of a plurality of input nodes in a current bounding volume hierarchy (BVH), which would move the respective input node from an old parent to a new parent, and which would reduce the expected computational cost of searching the BVH for a ray intersection; and updates the current BVH with one or more selected reinsertions selected from among the candidates. In the search for candidate reinsertions, either or both of: a) the new parent is limited to being related to the old parent by an ancestor at no more than a predetermined number of hierarchal levels above the old parent, and/or b) the input nodes are limited to being at or above a hierarchical level a predetermined number of hierarchical levels below the root node.