Dynamic Graphics Processor Scheduling for Parallel Execution Efficiency

The patent implements dynamic scheduling of graphics pipelines by allowing the pipeline configuration to change at runtime based on workload characteristics. The scheduler dynamically allocates and deallocates pipeline stages to different rendering tasks, enabling the system to adapt to varying workloads and improve resource utilization without requiring a completely redesign of the hardware architecture.

The patent creates a universal graphics pipeline architecture where the same physical pipeline stages can be dynamically assigned to different rendering tasks and thread types (serial and parallel). This multi-functionality allows a single pipeline configuration to handle diverse workloads efficiently, improving adaptability without proportionally increasing device complexity.

The patent implements a scheduling system that monitors the execution state of multiple threads and pipeline stages, using this feedback information to dynamically reallocate resources. When a thread completes or stalls, the scheduler detects this through status registers and feedback signals, then reassigns the freed pipeline stages to other waiting threads, minimizing idle time and maximizing continuous processing.

The patent ensures continuous utilization of graphics pipeline resources by implementing a thread pool mechanism where multiple threads are kept in various states of execution readiness. The scheduler continuously assigns available pipeline stages to threads that are ready to execute, eliminating gaps in resource utilization and maintaining continuous useful action across the parallel processing elements.

The patent segments the scheduling functionality into distinct modular components: a thread manager that handles thread creation and state management, a stage allocator that manages pipeline stage assignment, and status tracking registers that monitor execution progress. This segmentation allows each component to be implemented with focused complexity, reducing overall scheduling hardware complexity while maintaining high resource allocation efficiency.

The patent implements self-service mechanisms where threads automatically register their execution requirements and the pipeline stages self-manage their allocation state through status registers. The scheduling hardware does not require complex centralized control logic; instead, distributed status tracking and automatic state transitions enable efficient resource allocation with minimal scheduling overhead.