GPU State Programming Overhead Reduction Through Path Routing
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Solution Overview
Problem
Current graphics processing techniques fail to optimize GPU resources for separate hardware architecture paths, leading to inefficiencies in workload assignment.
Innovation Solution
A method to associate state commands with a payload path when their workload is below a threshold, allowing execution in the payload path, thereby offloading state programming to reduce processing time.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If state commands are executed in the state path, then state programming is performed correctly, but processing time increases and GPU resources are not optimized
Solution Approach 1:
The patent merges state commands with payload commands by associating low-workload state commands with payload paths. This allows state programming to be combined with payload processing, enabling parallel execution and reducing overall processing time while optimizing GPU resource utilization across both paths.
Solution Approach 2:
The patent segments state commands into different categories based on workload thresholds. State commands with workload below the threshold are associated with payload paths, while those above the threshold remain in the state path. This segmentation allows optimized routing of state commands to reduce processing time and improve GPU resource allocation.
2Ease of operation
If state commands are routed to the state path, then hardware architecture paths are respected, but scheduling overhead increases
Solution Approach 1:
The patent applies local quality by treating different state commands differently based on their workload characteristics. Low-workload state commands are routed to payload paths for efficient processing, while high-workload state commands remain in the state path. This differentiated approach reduces scheduling overhead while maintaining hardware architecture compliance.
3Productivity
If all state commands are executed in the state path, then state programming is isolated, but GPU resource optimization is lost
Solution Approach 1:
The patent introduces dynamics by making the routing decision for state commands flexible rather than fixed. The system dynamically determines whether to associate state commands with payload paths or execute them in the state path based on workload thresholds. This dynamic approach enables GPU resource optimization while maintaining reliable state programming through conditional routing.
Data Source
AI summary
This disclosure provides systems, devices, apparatus, and methods, including computer programs encoded on storage media for reducing graphics processor overhead for associated workloads. A graphics processor may obtain a first indication of a first set of payload commands and a second indication of a second set of state commands. The first set of payload commands may be associated with a payload path. The second set of state commands may be associated with a state path. The graphics processor may determine that a state command in the second set of state commands is associated with a workload that is less than a threshold. The graphics processor may associate the state command with the payload path based on the determination. The graphics processor may output a third indication of the associated state command. The graphics processor may execute the state command in the payload path after the output of the third indication.