GPU Regroup Engine for Multi-Thread Lane Synchronization
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Solution Overview
Problem
Current parallel graphics data processing systems face challenges in efficiently synchronizing multi-thread lanes, which affects processing efficiency and performance in graphics and machine-learning operations.
Innovation Solution
The implementation of a system and method for synchronizing multi-thread lanes, utilizing a graphics processing unit (GPU) communicatively coupled to host/processor cores, which allocates work through sequences of commands/instructions in a work descriptor, and uses dedicated circuitry to efficiently process these commands.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If multi-thread lanes are processed in parallel without synchronization, then processing speed increases, but execution consistency and reliability deteriorate
Solution Approach 1:
A synchronization controller is introduced as an intermediary component between parallel thread lanes. This controller receives synchronization commands, determines which lanes require synchronization, and coordinates their execution to maintain consistency while preserving parallel processing benefits.
Solution Approach 2:
The synchronization mechanism dynamically adapts to different execution scenarios by selectively applying synchronization only to affected thread lanes rather than all lanes universally. This dynamic approach maintains execution consistency where needed while minimizing interference with parallel processing in other lanes.
2Reliability
If synchronization is implemented across all thread lanes, then execution consistency improves, but processing efficiency deteriorates
Solution Approach 1:
Synchronization is applied locally only to the specific thread lanes that require it, rather than uniformly across all lanes. The synchronization controller identifies affected lanes and applies synchronization selectively, maintaining execution consistency where needed while preserving processing efficiency in unaffected lanes.
Solution Approach 2:
The system changes the synchronization parameter from a global binary state (synchronized/not synchronized) to a selective state where individual lanes can be independently controlled. This allows different synchronization behaviors for different lanes based on their specific requirements.
3Measurement precision
If synchronization commands are processed sequentially, then execution accuracy improves, but processing time increases
Solution Approach 1:
The synchronization command processing is segmented into individual lane-specific operations. Instead of processing all synchronization commands sequentially in a single stream, the controller divides the work into separate processing paths for different thread lanes, enabling parallel execution of synchronization operations.
Solution Approach 2:
The synchronization process maintains continuous useful action by keeping thread lanes active and productive throughout the synchronization operation. Rather than halting all lanes for sequential processing, the system maintains continuous execution flow where possible while ensuring accuracy where required.
Data Source
AI summary
Apparatuses to synchronize lanes that diverge or threads that drift are disclosed. In one embodiment, a graphics multiprocessor includes a queue having an initial state of groups with a first group having threads of first and second instruction types and a second group having threads of the first and second instruction types. A regroup engine (or regroup circuitry) regroups threads into a third group having threads of the first instruction type and a fourth group having threads of the second instruction type.