Render Graph API for Flexible Rendering Pipelines
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Solution Overview
Problem
Current graphics processing systems face challenges in efficiently managing render targets and achieving flexible, customizable rendering pipelines, leading to latency issues due to the complexity and variability of graphics rendering tasks across different systems and applications.
Innovation Solution
A render graph API is introduced that allows for the creation of data-driven and code-driven render graphs, enabling developers to define nodes, render targets, and connections, which are stored as data files and converted into render graph data objects, facilitating a modular and customizable rendering pipeline that can be authored in code or driven by data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a flexible and configurable rendering pipeline is implemented to accommodate various graphics applications, then adaptability is improved, but device complexity increases
Solution Approach 1:
The rendering pipeline is divided into discrete, configurable nodes that can be independently defined and connected. Each node represents a specific rendering operation (e.g., lighting, shadows, reflections), allowing the pipeline to be segmented into modular units that can be selectively assembled based on application requirements.
Solution Approach 2:
The rendering pipeline configuration is made dynamic through data-driven node definitions that can be loaded from external data files. This allows the pipeline structure to be modified at runtime without recompiling code, enabling flexible adaptation to different graphics applications while managing complexity through externalized configuration.
2Manufacturing precision
If multiple rendering passes are employed to achieve complex graphics effects, then rendering quality is improved, but processing time increases
Solution Approach 1:
Render targets are pre-defined and configured in advance through node definitions stored in data files. The rendering system prepares the pipeline configuration before execution, allowing multiple rendering passes to be efficiently orchestrated without runtime decision-making overhead, thus reducing processing time while maintaining rendering quality.
3Adaptability or versatility
If a customizable rendering pipeline is implemented to accommodate different systems and applications, then adaptability is improved, but ease of operation deteriorates
Solution Approach 1:
Rendering pipeline configurations are copied from external data files rather than being manually constructed through code. Developers can define nodes and connections once in a data-driven format, and these configurations can be reused across different systems and applications, reducing the operational burden while maintaining adaptability.
Data Source
AI summary
Systems, methods, and computer readable media to data drive a render graph are described. A render graph system defines one or more nodes for a render graph and one or more render targets associated with the nodes. The nodes includes one or more functions to define and resolve target handles for identifying render targets. The render graph system defines one or more connections between the nodes and render targets. The connection between the nodes and render targets form the render graph. The render graph system stores the render graph as a data file and converts, with a render graphics API, the data file into a render graph data object. The render graph system performs a frame setup phase the setups the render graph for a frame based on the render graph data object.