Distributed Denoising via Ghost Region Data Exchange
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Solution Overview
Problem
Existing denoising frameworks for real-time ray tracing operate on a single machine, limiting their ability to access all rendered pixels across multiple devices, which hampers the computation of a denoised image in distributed rendering systems.
Innovation Solution
A distributed denoising algorithm that collects and shares 'ghost region' data between nodes to enable efficient denoising operations, allowing nodes to retrieve necessary data from neighboring nodes for smooth image rendering and composition.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If rendering is distributed across multiple devices, then rendering performance and productivity are improved, but access to all rendered pixels for denoising computation becomes limited
Solution Approach 1:
The patent introduces a distributed memory architecture where each processing node has local memory and shared memory accessible by all nodes. This intermediary memory structure allows nodes to access rendered pixels from other nodes without requiring direct inter-node communication for every pixel access, thus resolving the information access limitation in distributed rendering while maintaining rendering performance.
Solution Approach 2:
The patent divides the rendering workload and pixel data across multiple processing nodes, with each node handling a portion of the rendering computation. By segmenting the data storage into local and shared memory components, the system allows distributed processing while providing mechanisms for nodes to access pixels from other segments, thereby maintaining both productivity and information access.
2Quantity of substance
If a compressed traversal stack representation is used, then memory usage is reduced, but traversal operations may require more complex decoding
Solution Approach 1:
The patent transforms the traversal stack data structure by compressing it to change its parameter representation. The compressed format uses fewer bits per stack element, reducing overall memory usage. The system manages the trade-off by implementing efficient compression and decompression routines that handle the increased operational complexity, achieving net memory savings while maintaining acceptable traversal performance.
Data Source
AI summary
Apparatus and method for a compressed stack representation for a BVH. For example, one embodiment of an apparatus comprises: a ray generator to generate a plurality of rays in a first graphics scene; a bounding volume hierarchy (BVH) generator to construct a BVH comprising a plurality of hierarchically arranged nodes, wherein the BVH comprises a specified number of child nodes at a current BVH level beneath a parent node in the hierarchy; traversal/intersection circuitry to traverse one or more of the rays through the hierarchically arranged nodes of the BVH and intersect the one or more rays with primitives contained within the nodes; a short traversal stack of a fixed size comprising a specified number of entries fewer than the number of child nodes beneath the parent node, each entry associated with a child node at the current BVH level, the entries ordered from top to bottom within the short traversal stack based on a sorted distance of each respective child node, wherein each entry includes a field to indicate whether that entry is associated with a final child in the current BVH level; wherein the traversal/intersection circuitry is to process entries from the top of the traversal stack, removing entries as they are processed, the traversal/intersection circuitry to determine that a current entry is associated with the final child node at the current BVH level by reading a first value in the field.