Event Synchronizer for Thread Wavefront Stall Reduction
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Solution Overview
Problem
In parallel processing systems, thread wavefronts often experience stalls due to delays in data being written to memory, leading to frequent polling and reduced memory bandwidth, which increases synchronization buffer size and decreases performance efficiency.
Innovation Solution
Implementing an event synchronizer that releases events associated with completed data outputs before subsequent events, ensuring data is stored in memory before releasing the event, thereby synchronizing thread wavefronts and reducing stalls.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If threads poll memory frequently to wait for data from previous wavefronts, then synchronization is achieved, but memory bandwidth is consumed and synchronization buffer footprint increases
Solution Approach 1:
An event synchronizer is introduced as an intermediary component between wavefront execution and memory operations. The synchronizer receives events from the event generator, holds them in an event buffer, and releases them in the correct order after verifying data availability. This mediator eliminates the need for threads to directly poll memory, thereby resolving the contradiction between achieving reliable synchronization and maintaining high memory bandwidth utilization.
2Reliability
If threads poll memory frequently to wait for data from previous wavefronts, then synchronization is achieved, but synchronization buffer footprint increases
Solution Approach 1:
The event synchronizer acts as a compact intermediary that manages synchronization state in a space-efficient manner. Instead of requiring large synchronization buffers to hold polling threads, the synchronizer uses a compact event buffer and state machine to track data availability and coordinate wavefront progression, significantly reducing the memory footprint while maintaining reliable synchronization.
3Reliability
If wavefronts wait for data availability in memory, then data correctness is ensured, but processing efficiency decreases
Solution Approach 1:
The system performs preliminary actions by having the event generator proactively generate events when data is produced, and the event synchronizer pre-verify data availability before releasing events to subsequent wavefronts. This preliminary coordination eliminates the need for reactive waiting and polling, ensuring data correctness while maintaining high processing efficiency through proactive event-driven synchronization.
4Productivity
If an event synchronizer releases events in order after data is stored in memory, then wavefront stalls are reduced, but system complexity increases
Solution Approach 1:
The event synchronizer is designed as a dedicated intermediary component with a clear, simple interface: receive events from the generator, store them in a buffer, verify data availability, and release events in order. This modular design encapsulates the synchronization logic in a single unit, reducing overall system complexity while effectively reducing wavefront stalls through ordered event release.
Data Source
AI summary
Systems and methods for synchronizing thread wavefronts and associated events are disclosed. According to an embodiment, a method for synchronizing one or more thread wavefronts and associated events includes inserting a first event associated with a first data output from a first thread wavefront into an event synchronizer. The event synchronizer is configured to release the first event before releasing events inserted subsequent to the first event. The method further includes releasing the first event from the event synchronizer after the first data is stored in the memory. Corresponding system and computer readable medium embodiments are also disclosed.