Hybrid Render Primitive Batching for Memory Bandwidth Efficiency
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Solution Overview
Problem
Conventional graphics systems face inefficiencies in rendering complex 3D images due to repeated color and depth value reads and writes from memory, leading to suboptimal system performance and unnecessary processing overhead during the rasterization of primitives in immediate mode rendering.
Innovation Solution
The implementation of a deferred primitive batch binning mechanism, where primitives are grouped into batches and processed in bins, allowing for delayed shading and reduced external bandwidth, with dynamic bin sizing and opportunistic insertion/removal of primitives, thereby optimizing memory usage and processing efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If immediate shading of rasterized pixels is performed for each primitive individually, then color and depth values can be processed in real-time, but unnecessary processing overhead occurs and system memory bandwidth is inefficiently used
Solution Approach 1:
The patent applies preliminary action by performing bin intercept identification and primitive batch binning before detailed rasterization and shading operations. Primitives are pre-grouped into batches based on their bin intercepts, and bin intercepts are pre-calculated during a walk order traversal. This preliminary organization allows the rendering pipeline to process multiple primitives simultaneously without repeated memory accesses, eliminating the need for immediate individual shading while maintaining real-time performance.
Solution Approach 2:
The patent merges multiple primitive processing operations into a unified batch processing framework. Multiple primitives that intercept the same bin are combined into a single processing batch, allowing their rasterized pixels to be collected and shaded together rather than individually. This merging reduces redundant memory bandwidth usage and processing overhead while preserving the real-time rendering capability.
2Manufacturing precision
If complete rasterization of each primitive is performed individually, then all pixels within primitive edges are rendered, but repeated color and depth value reads and writes from memory occur resulting in suboptimal system performance
Solution Approach 1:
The patent segments the rendering process into distinct phases: bin intercept identification, primitive batch binning, rasterization, and shading. By segmenting primitives into batches based on their bin intercepts and processing them in groups rather than individually, the system maintains complete rendering of all pixels while eliminating repeated memory reads and writes. Each segment (batch) is processed once, improving system performance without sacrificing rendering completeness.
Solution Approach 2:
The patent performs preliminary bin intercept identification and primitive batching before the actual rasterization and shading operations. During the walk order traversal of bins, primitives are pre-grouped into batches based on which bins they intercept. This preliminary action ensures that when rasterization occurs, all necessary primitives are already organized, preventing repeated memory accesses and improving system performance while ensuring complete pixel rendering.
3Measurement precision
If thousands or millions of primitives are rendered individually, then detailed pixel-level rendering is achieved, but the rendering process becomes inefficient with unnecessary processing overhead
Solution Approach 1:
The patent merges the processing of thousands or millions of primitives by grouping them into batches based on bin intercepts. Instead of processing each primitive individually through the complete rendering pipeline, primitives are combined into batches that share common bin intercepts. This merging maintains pixel-level rendering accuracy for all primitives while significantly reducing processing complexity by handling multiple primitives in unified processing steps rather than separate individual operations.
Data Source
AI summary
A method, system, and non-transitory computer readable storage medium for rasterizing primitives are disclosed. The method, system, and non-transitory computer readable storage medium includes: generating a primitive batch from a sequence of one or more primitives, wherein the primitive batch includes primitives sorted into one or more row groups based on which row of a plurality of rows each primitive intersects; and processing each row group, the processing for each row group including: identifying one or more primitive column intercepts for each of the one or more primitives in the row group, wherein each combination of primitive column intercept and row identifies a bin; and rasterizing the one or more primitives that intersect the bin.