Distributed Ray Forwarding Using Traversal-Aware Light Transport
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Solution Overview
Problem
Conventional data-parallel rendering methods for light transport simulation, such as path tracing, require high storage and bandwidth due to spatial partitioning of scenes, leading to inefficient ray forwarding across compute nodes.
Innovation Solution
Implement a system where compute nodes selectively forward rays based on determining whether graphical data has already been intersection-tested and processed, using traversal information to reduce redundant forwarding and allow flexible scene partitioning strategies.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If spatial partitioning is used to distribute graphical data across compute nodes, then data-parallel rendering can be performed on complex scenes, but storage requirements and bandwidth consumption increase significantly
Solution Approach 1:
The system performs preliminary intersection testing of rays against graphical data before distribution. Traversal information is pre-computed and stored in a compact format, allowing compute nodes to determine which rays need forwarding without requiring complete scene data. This preliminary action eliminates the need for redundant storage of graphical data across multiple nodes.
Solution Approach 2:
The patent extracts only the essential traversal information from the complete scene data and distributes this compact representation across compute nodes. Instead of distributing entire spatial partitions with all graphical data, only the minimal necessary information for ray traversal is extracted and shared, dramatically reducing storage requirements while maintaining rendering capability.
2Productivity
If spatial partitioning is used to assign entire spatial domains to different compute nodes, then data-parallel rendering can proceed, but base meshes extending beyond single partitions require multiple copies increasing storage
Solution Approach 1:
Instead of copying entire base meshes across multiple partitions, the system creates a single copy of the complete scene and distributes compact traversal information derived from this single copy. Compute nodes use this shared traversal information to access the original scene data without requiring local copies, eliminating data duplication while maintaining parallel rendering efficiency.
3Reliability
If rays are frequently forwarded between compute nodes in spatial partitioning, then complete scene coverage is achieved, but bandwidth consumption and computational overhead increase
Solution Approach 1:
The system implements feedback through traversal information that indicates which compute nodes have already processed which rays. Before forwarding a ray, a compute node checks this feedback information to determine if the ray has already been processed by another node. This feedback mechanism prevents redundant ray forwarding, ensuring complete scene coverage while minimizing bandwidth consumption and computational overhead.
Data Source
AI summary
A compute node performing a distributed light transport simulation operation on a scene may select another compute node(s) for forwarding of a ray based on determining graphical data assigned to the other compute node(s) has already been intersection-tested using the ray. Thus, the compute node can avoid forwarding the ray when the graphical data has already been processed using the ray, while providing flexibility in the partition strategy used to partition the scene amongst the compute nodes. The compute node may receive and/or determine traversal information indicating compute nodes that have already intersection-tested the ray and/or have not yet intersection-tested the ray. The traversal information may include a list of compute nodes that have or have not yet intersection-tested the ray. In some examples, the compute node replays the traversal logic used by the compute nodes to generate one or more portions of the list.