Ray Tracing Data Transformation With Segmented Inverse Mapping
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Solution Overview
Problem
Existing ray tracing systems face inefficiencies in transforming data between different coordinate spaces, leading to increased latency, power consumption, and silicon area due to the use of conventional inverse transformation methods that introduce rounding errors and require complex matrix operations.
Innovation Solution
A method and system for transforming data in a ray tracing system by performing a reverse translation operation followed by an inverse linear mapping operation, separate from the combined inverse transformation, to improve accuracy and reduce latency, power consumption, and silicon area.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional inverse transformation methods are used to transform data between coordinate spaces, then the transformation can be performed in a single step, but rounding errors are introduced and computational complexity increases
Solution Approach 1:
The patent divides the inverse transformation operation into two separate steps: first performing a reverse translation operation, then performing an inverse linear mapping operation. This segmentation allows each operation to be optimized independently - the translation uses simple vector subtraction while the linear mapping uses matrix multiplication, reducing rounding errors and computational complexity compared to a single combined inverse transformation matrix operation.
2Productivity
If conventional inverse transformation methods are used, then implementation is straightforward, but latency and power consumption increase
Solution Approach 1:
By segmenting the transformation into reverse translation followed by inverse linear mapping, the patent enables more efficient hardware implementation. The reverse translation can be performed using simple adder circuits while the linear mapping uses optimized matrix multiplication units, reducing overall latency and power consumption compared to implementing a full inverse transformation matrix operation.
3Ease of manufacture
If a single inverse transformation matrix is used, then the operation is simple to implement, but silicon area increases
Solution Approach 1:
The patent segments the transformation matrix into a translation vector and a linear mapping matrix. This allows the hardware implementation to use separate, optimized units for translation (simple vector subtraction) and linear mapping (matrix multiplication), reducing the total silicon area required compared to implementing a single large inverse transformation matrix operation.
Data Source
AI summary
A ray tracing system and method for processing data in which a forward transformation indication is received defining a transformation from a first space to a second space. A transformation is performed on input data from the second space to the first space to determine transformed data by performing a reverse translation operation on the input data, wherein the reverse translation operation is the reverse of a translation defined by the forward transformation indication. An inverse linear mapping operation is performed on the result of the reverse translation operation, wherein the inverse linear mapping operation is the inverse of a linear mapping defined by the forward transformation indication. The transformed data is processed in the ray tracing system.