Ray Traversal Tokenization for Real-Time Ray Tracing Debugging

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Solution Overview

Problem

The computational processing and memory bandwidth load of ray tracing is heavy, and debugging and profiling of real-time ray tracing functionality is difficult due to the lack of readily available ray traversal data, posing challenges for developers.

Innovation Solution

A system and method for capturing and tokenizing ray traversal data, allowing for its reconstruction and analysis, which includes generating tokens representing various aspects of ray tracing data and using an analysis and visualization tool to generate heat maps and 3D visualizations for debugging and optimization.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Manufacturing precision

If ray tracing operations are performed to improve image fidelity, then image quality is improved, but computational processing load and memory bandwidth requirements increase

Engineering Contradiction:
Improveimage fidelityVSAvoidcomputational processing load
Core Design Contradiction:
Manufacturing precisionVSUse of energy by moving object

Solution Approach 1:

The patent extracts only the essential ray traversal data needed for debugging and profiling, rather than capturing complete rendering data. This selective extraction includes ray origin, direction, intersection results, and traversal path information, while excluding redundant computational details, thereby reducing memory bandwidth requirements while maintaining debugging effectiveness

Inventive Principle:
Principle #2Taking out (Extraction)

Solution Approach 2:

The patent segments the ray tracing process into discrete traversal steps and captures data at specific milestones (entry/exit of BVH nodes, intersection results). This segmentation allows the system to monitor only critical decision points in the ray tracing pipeline, reducing the volume of data that needs to be processed and stored while providing sufficient insight into performance characteristics

Inventive Principle:
Principle #1Segmentation

2Difficulty of detecting and measuring

If ray traversal data is captured for debugging, then debugging capability is improved, but memory bandwidth and processing resources are consumed

Engineering Contradiction:
Improvedebugging capabilityVSAvoidmemory bandwidth
Core Design Contradiction:
Difficulty of detecting and measuringVSQuantity of substance

Solution Approach 1:

The patent creates a simplified copy or representation of the ray traversal data structure, capturing only the essential metadata about ray paths and intersections. This condensed data representation maintains the information needed for debugging while significantly reducing the memory footprint and bandwidth requirements compared to capturing complete rendering computations

Inventive Principle:
Principle #26Copying

Solution Approach 2:

The patent extracts only the necessary ray traversal information from the complex ray tracing process, including ray identifiers, BVH node indices, intersection results, and traversal timing data. By taking out only these critical elements and excluding redundant computational details, the system achieves effective debugging capability while minimizing memory bandwidth consumption

Inventive Principle:
Principle #2Taking out (Extraction)

Data Source

PatentUS20250384614A1Profiling and debugging for real time ray tracing
Publication Date: 2025.12.18 ADVANCED MICRO DEVICES INC
  • US20250384614A1 patent drawing
  • US20250384614A1 patent drawing
  • US20250384614A1 patent drawing

AI summary

A processing system captures raw ray traversal data from a real-time ray tracing application and generates tokens that are compact representations of various aspects of the ray tracing data from which the ray traversal data can be reconstructed and analyzed. For example, a token stream includes tokens having identifiers to uniquely identify a ray in a ray dispatch, a call site within a shader, traversal iteration and parent traversal. Other tokens in the stream may include associated ray and top level and bottom level acceleration structure data, intersection result, function call, hits, and ray user payload data. An analysis and visualization application accesses the stored tokens, parses the tokens, and reconstructs the ray traversal data represented by the tokens for subsequent analysis.