Interleaved Lossless Compression for Multisample Render Targets
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Solution Overview
Problem
Current graphics processing systems face challenges in efficiently managing the high bandwidth requirements of multisample render targets, particularly in graphics rendering techniques like multi-sampling anti-aliasing, which can strain system resources.
Innovation Solution
Implementing lossless compression techniques for multisample render targets, specifically through interleaved storage and efficient data management within the graphics pipeline, including the use of dedicated circuitry for processing commands and instructions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If multisample render targets are used for anti-aliasing, then rendering quality is improved, but bandwidth consumption increases
Solution Approach 1:
The patent segments the multisample render target data into multiple compression blocks that can be independently compressed and stored. This segmentation allows for more efficient compression by treating different regions separately, reducing the overall bandwidth consumption while maintaining the high rendering quality provided by multisampling
Solution Approach 2:
The patent changes the data representation parameters by implementing lossless compression algorithms that transform the raw multisample data into a more compact format. This parameter transformation reduces the bandwidth consumption without sacrificing the rendering quality that multisample anti-aliasing provides
2Loss of energy
If compression is applied to reduce bandwidth, then bandwidth consumption is reduced, but data loss may occur
Solution Approach 1:
The patent implements a feedback mechanism where the compression process monitors the data and adjusts compression parameters to ensure lossless compression. This feedback loop guarantees that no rendering information is lost during compression, while still achieving bandwidth reduction through efficient encoding
Solution Approach 2:
The patent creates compressed copies of the multisample render target data that preserve all original information. These compressed representations are mathematically equivalent to the original data, ensuring no information loss while reducing bandwidth consumption
3Ease of manufacture
If traditional storage methods are used, then implementation is simple, but system performance deteriorates
Solution Approach 1:
The patent performs compression operations in advance during the rendering pipeline, before data needs to be stored or transferred. This preliminary compression action improves system performance by reducing the amount of data that needs to be handled later, while the implementation remains integrated into existing graphics processing workflows
Data Source
AI summary
Described herein is a data processing system having a multisample antialiasing compressor coupled to a texture unit and shader execution array. In one embodiment, the data processing system includes a memory device to store a multisample render target, the multisample render target to store color data for a set of sample locations of each pixel in a set of pixels; and general-purpose graphics processor comprising a multisample antialiasing compressor to apply multisample antialiasing compression to color data generated for the set of sample locations of a first pixel in the set of pixels and a multisample render cache to store color data generated for the set of sample locations of the first pixel in the set of pixels, wherein color data evicted from the multisample render cache is to be stored to the multisample render target.