Shader Execution Distribution for Video Stream Processing
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Solution Overview
Problem
Current video processing systems face limitations in efficiently utilizing both server and client GPU processing power for video stream processing, particularly in dynamically adapting shader execution based on network topology, device capabilities, and use case characteristics.
Innovation Solution
A method where shaders are applied in a video stream processing system by dividing their execution between a video stream processing device and a client device, with the video stream processing device transmitting necessary shaders to the client for further processing, allowing dynamic or static division based on available resources and network conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If all shader processing is performed on the server, then processing power utilization is simplified, but client device GPU resources remain underutilized
Solution Approach 1:
The shader processing workload is segmented between server and client devices. The server transmits video streams and shader programs to clients, while clients execute shaders locally using their GPU resources. This segmentation allows both server and client processing powers to be utilized effectively.
Solution Approach 2:
The system dynamically determines which device (server or client) should execute specific shaders based on real-time conditions such as network bandwidth, client device capabilities, and processing requirements. This dynamic allocation optimizes resource utilization across the distributed system.
2Adaptability or versatility
If shader execution is distributed between server and client, then device resource utilization is optimized, but system complexity increases
Solution Approach 1:
The system incorporates feedback mechanisms where the server receives information about client device capabilities and performance, and adjusts shader distribution decisions accordingly. This feedback loop helps manage system complexity by enabling adaptive decision-making based on actual system state.
Solution Approach 2:
The server acts as an intermediary that manages the complexity of shader distribution. It transmits shader programs to clients, receives feedback about client capabilities, and makes centralized decisions about which shaders should be executed where, thereby simplifying the overall system architecture.
3Productivity
If shaders are transmitted to client devices, then client-side processing capability is enhanced, but network bandwidth requirements increase
Solution Approach 1:
Instead of transmitting all shader programs to all clients, the system transmits only the necessary shaders to specific clients based on their capabilities and the specific video processing requirements. This partial action approach reduces unnecessary network traffic while still enabling client-side processing where beneficial.
Data Source
AI summary
The present invention relates to the field of processing a video stream, and more particular to the field of post processing of a video stream using shaders. The processing of the video stream is divided between a video stream processing device and a client device.