Tile-Based Graphics Processor With Hierarchical Bounding Boxes
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Solution Overview
Problem
Existing tile-based graphics processors face performance bottlenecks and scalability issues due to the serial generation and writing out of primitive lists, which hinder efficient rendering and scaling to different tiling performance levels.
Innovation Solution
A tile-based graphics processor that generates a multi-level hierarchical bounding box data structure using atomic operations, allowing parallel processing in the first pass, and uses this data in a second pass to determine and process primitives for rendering tiles, thereby eliminating the need for serial primitive list generation and writing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If serial primitive list generation and writing is used, then device complexity is reduced, but productivity deteriorates due to performance bottlenecks
Solution Approach 1:
The primitive list generation process is segmented into multiple independent backend circuits (first backend circuit, second backend circuit, etc.), each capable of generating bounding box information for different subsets of primitives simultaneously. This segmentation enables parallel processing while maintaining manageable complexity in each individual backend circuit.
Solution Approach 2:
The invention transitions from serial (one-dimensional) primitive list generation to parallel (multi-dimensional) processing by introducing multiple backend circuits that operate simultaneously. Each backend circuit processes a different portion of the primitive data in parallel, effectively adding a temporal dimension to the processing throughput.
2Productivity
If parallel processing is implemented, then productivity improves, but device complexity increases due to multiple backend circuits
Solution Approach 1:
The parallel processing architecture is achieved through segmentation into multiple identical or modular backend circuits. Each circuit is a simplified unit that generates bounding box information for a specific subset of primitives, reducing the complexity burden on any single circuit while enabling collective parallel throughput.
Solution Approach 2:
Each backend circuit is designed as a universal processing unit capable of handling primitive data and generating bounding box information. The circuits are functionally identical or similar, allowing for easy scaling and reducing design complexity compared to creating entirely different processing units for each parallel channel.
3Loss of time
If serial primitive list writing is used, then ease of operation is maintained, but loss of time increases due to bottleneck delays
Solution Approach 1:
The primitive data set is divided into multiple segments, each assigned to a different backend circuit for parallel bounding box generation. This segmentation reduces the time each circuit needs to process its portion, eliminating the serial bottleneck while the hierarchical data structure manages the distributed results efficiently.
Solution Approach 2:
Bounding box information is generated and stored in a hierarchical data structure in advance of the actual rendering operation. This preliminary parallel generation of spatial information allows the rendering stage to proceed more efficiently by having spatial relationships pre-computed and organized, reducing overall processing time.
Data Source
AI summary
A tile-based graphics processor performs first and second processing passes to generate a render output. The first processing pass generates and writes out information representative of a set of bounding boxes, and the second processing pass uses the bounding box information to determine which primitives to process for which rendering tiles.