Lookup Tables for GPU Text Rendering Data Transfer
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current text rendering processes are computationally intensive, particularly in the merging and filtering steps, due to inefficient data transfer and processing of coverage data between the CPU and GPU, leading to high CPU usage and memory inefficiencies.
Innovation Solution
Implementing a higher data density format for transferring coverage data, such as 8-bits-per-pixel, and pre-calculating pixel corrections to reduce computational burden on the GPU, along with using lookup tables to efficiently assemble and unpack data, thereby optimizing memory usage and processing efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If traditional 1-bit-per-pixel coverage data format is used for text rendering, then memory bandwidth is consumed for transferring data between CPU and GPU, but memory usage efficiency deteriorates due to high data volume
Solution Approach 1:
The patent changes the data representation parameter from 1-bit-per-pixel coverage data to a more compact format that encodes multiple pixel coverage values in fewer bits. This parameter change reduces the total data volume transferred between CPU and GPU, improving memory usage efficiency while maintaining the ability to represent all necessary coverage information for anti-aliased text rendering.
Solution Approach 2:
The patent introduces a new dimensional approach by organizing coverage data in a compressed hierarchical structure rather than the traditional flat 1-bit-per-pixel format. This dimensional reorganization allows multiple pixel coverage values to be encoded together, reducing memory bandwidth requirements while preserving rendering quality.
2Power
If merging and filtering steps are performed on CPU, then computational intensity is reduced on GPU, but CPU usage increases significantly
Solution Approach 1:
The patent performs preliminary preparation of compact coverage data on the CPU before GPU processing, encoding multiple pixel values into a compressed format. This preliminary action reduces the data volume that needs to be processed and transferred, allowing the GPU to perform merging and filtering operations more efficiently with less data, thereby balancing the computational load without significantly increasing CPU usage.
Solution Approach 2:
The patent extracts and pre-processes only the essential coverage information in a compact format on the CPU, separating the critical data preparation tasks from the full rendering pipeline. This extraction allows the GPU to receive pre-processed, compressed data that requires less computational effort for merging and filtering, improving overall rendering performance.
3Ease of manufacture
If coverage data is transferred from CPU to GPU in traditional format, then data transfer is straightforward, but memory bandwidth is wasted due to inefficient data density
Solution Approach 1:
The patent changes the data format parameter from traditional 1-bit-per-pixel to a compact encoded format that represents multiple pixels per byte. This parameter change increases data density, allowing the same amount of coverage information to be transferred using fewer memory bandwidth resources, thus eliminating waste while maintaining transfer simplicity through standardized encoding procedures.
Data Source
Figure 1
Figure 2
Figure 3
AI summary
Systems and methods are provided for improved filtering and correcting of glyphs on a GPU. The computational intensity required for filtering and/or rendering can be reduced by pre-calculating some or all of the calculations needed for converting coverage data into corrected pixel values. Additional efficiencies may be realized in some embodiments by transferring data from a CPU to a GPU in an improved format. The improvements can be realized in a variety of graphics formats.