GPU Visibility-Based State Updates for Rendering Efficiency
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Solution Overview
Problem
Graphics Processing Units (GPUs) face inefficiencies in power consumption and memory bandwidth usage due to frequent off-chip memory access for state data retrieval, especially in mobile devices where power is limited, as they retrieve state data for both visible and non-visible primitives, leading to unnecessary power consumption and bandwidth usage.
Innovation Solution
Implementing a multi-pass rendering process where visibility information is determined during a first pass, allowing the GPU to delay state data retrieval until the second pass, only loading state data into on-chip memory for visible objects, thereby reducing off-chip memory access and conserving bandwidth.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of energy
If the GPU retrieves state data for all objects during rendering, then complete rendering functionality is maintained, but power consumption and memory bandwidth usage increase due to unnecessary data retrieval for non-visible objects
Solution Approach 1:
The patent applies preliminary action by performing a first pass of the rendering process to determine visibility information for all objects before actually retrieving state data. This preliminary visibility determination allows the system to avoid unnecessary state data retrieval for non-visible objects during the second pass, thereby reducing power consumption while maintaining rendering efficiency for visible objects
2Loss of energy
If the GPU retrieves state data from off-chip memory for all objects, then all object data is available, but memory bandwidth consumption increases unnecessarily for non-visible objects
Solution Approach 1:
The patent applies the extraction principle by separating the visibility determination step from the state data retrieval step. The system extracts only the necessary information (visibility status) in the first pass, then uses this extracted information to selectively retrieve state data only for visible objects in the second pass, thereby reducing memory bandwidth usage without compromising rendering throughput
3Loss of energy
If the GPU performs a multi-pass rendering process with visibility determination, then unnecessary state data retrieval is reduced, but the rendering process complexity increases
Solution Approach 1:
The patent applies segmentation by dividing the rendering process into two distinct passes: a first pass for visibility determination and a second pass for actual rendering with selective state data retrieval. This segmentation allows the system to manage complexity by handling visibility analysis and rendering operations separately, reducing power consumption through targeted data retrieval while maintaining organized process structure
Data Source
AI summary
In general, techniques are described for visibility-based state updates in graphical processing units (GPUs). A device that renders image data comprising a memory configured to store state data and a GPU may implement the techniques. The GPU may be configured to perform a multi-pass rendering process to render an image from the image data. The GPU determines visibility information for a plurality of objects defined by the image data during a first pass of the multi-pass rendering process. The visibility information indicates whether each of the plurality of objects will be visible in the image rendered from the image data during a second pass of the multi-pass rendering process. The GPU then retrieves the state data from the memory for use by the second pass of the multi-pass rendering process in rendering the plurality of objects of the image data based on the visibility information.