Job Management Layer for Multi-Processor Graphics Rendering
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Solution Overview
Problem
Current digital graphic design and video editing applications face inefficiencies due to the need for manual code translation and optimization across different GPUs and CPUs, requiring substantial effort to achieve concurrent rendering performance.
Innovation Solution
An operating system with an image processing framework and job management layer that assigns image processing operations to multiple concurrent computing resources, including CPUs and GPUs, using direct memory access channels for data transfer, allowing for efficient load-balancing and concurrent rendering.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If manual code translation and optimization is performed for different GPUs and CPUs, then code compatibility across platforms is improved, but development time and effort increase substantially
Solution Approach 1:
The patent introduces an intermediary layer (API abstraction layer) between the application code and the underlying rendering resources (GPUs/CPU). This intermediary handles the platform-specific code translation and optimization automatically, allowing developers to write platform-independent code while achieving cross-platform compatibility. The intermediary translates high-level rendering commands into platform-specific instructions without requiring manual optimization for each platform.
2Productivity
If concurrent rendering resources (GPUs and CPUs) are utilized, then rendering performance is improved, but system complexity increases due to resource management requirements
Solution Approach 1:
The patent segments the rendering workload into independent rendering jobs that can be distributed across multiple concurrent resources (GPUs and CPUs). Each rendering resource operates independently on assigned jobs, eliminating the need for complex coordination and synchronization mechanisms. The segmentation of work into discrete, self-contained jobs simplifies resource management while maximizing parallel processing performance.
3Speed
If code is optimized for efficient performance on different platforms, then rendering speed is improved, but code complexity and maintenance effort increase
Solution Approach 1:
The patent creates a universal rendering API that can operate across multiple platforms (different GPUs and CPUs) without requiring platform-specific code optimization. The unified interface handles all platform variations, allowing the same codebase to achieve efficient performance on diverse hardware through the intermediary's platform-specific optimizations rather than through complex multi-version code management.
Data Source
AI summary
An operating system that includes an image processing framework as well as a job management layer is provided. The image processing framework is for performing image processing operations and the job management layer is for assigning the image processing operations to multiple concurrent computing resources. The computing resources include several processing units and one or more direct memory access (DMA) channels for concurrently rendering image data and transferring image data between the processing units.