Graphics Emulation Interface for CPU-GPU Workload Division
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current graphics subsystems face challenges in efficiently managing complex graphics operations, particularly in image processing applications, due to the lack of a high-level interface that hides hardware complexity and efficiently divides work between CPU and GPU, while also being compatible with legacy systems.
Innovation Solution
A high-level program interface for graphics operations is introduced, utilizing a graph-like description of image tasks with nodes representing operators and links representing intermediary results, allowing for optimization and efficient resource usage, and enabling emulation on single processor systems.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If a high-level program interface is introduced to hide hardware complexity, then ease of operation is improved, but device complexity increases due to the additional abstraction layer
Solution Approach 1:
The patent introduces an intermediary layer (the high-level program interface and graph description system) between the application programmer and the graphics hardware. This intermediary translates high-level filter descriptions into optimized GPU operations, shielding programmers from hardware complexity while maintaining efficiency through automated compilation and execution on the graphics processor.
2Productivity
If graphics operations are divided between CPU and GPU, then productivity is improved, but device complexity increases due to coordination requirements
Solution Approach 1:
The patent segments the graphics processing workload by having the CPU handle high-level filter description and graph construction, while the GPU handles parallel pixel-level computations. The intermediary layer divides the processing tasks appropriately, allowing each processor to operate in its optimal domain and improving overall productivity through specialized分工.
3Manufacturing precision
If a graph-like description system is used to represent image tasks, then manufacturing precision is improved through optimization, but device complexity increases due to the additional data structure
Solution Approach 1:
The patent applies preliminary action by constructing and optimizing the graph description of image tasks before actual execution. The intermediary layer performs graph optimization, compiler analysis, and execution plan generation in advance, allowing for precise optimization of memory usage and computation time before the graphics operations are performed on the GPU.
Data Source
AI summary
Disclosed is a system for producing images including emulation techniques. The system provides for emulation of graphics processing resources such that a central processing unit may provide graphics support. Disclosed embodiments include emulation of selected graphics calls as well as emulation of a programmable graphics processor for compatibility with systems having no compatible GPU.