Resource-Specific Cache Flushes for GPU Pipeline Stalling
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Solution Overview
Problem
Current graphics processing unit (GPU) systems often stall partially or completely due to frequent invalidations and flushes, which negatively impact performance.
Innovation Solution
Implementing resource-specific flushes and invalidations in graphics processing architectures to allow for targeted and efficient management of cache and memory fabric structures, preventing unnecessary stalling of the graphics pipeline.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If complete or partial stalling is used to handle invalidations and flushes, then cache coherence is maintained, but graphics pipeline performance deteriorates
Solution Approach 1:
The patent segments the cache and memory fabric into resource-specific regions, allowing invalidations and flushes to be handled individually for each resource rather than stalling the entire pipeline. This enables the system to maintain cache coherence for affected resources while continuing to process transactions for unaffected resources, thus resolving the contradiction between reliability and productivity.
Solution Approach 2:
The invention implements local quality by applying different handling strategies to different resources based on their specific needs. Instead of a uniform stall approach, the system performs resource-specific flushes and invalidations only where necessary, maintaining coherence for affected areas while preserving pipeline throughput for other areas.
2Productivity
If resource-specific flushes and invalidations are implemented, then pipeline stalling is reduced, but system complexity increases
Solution Approach 1:
The patent divides the cache management system into resource-specific units that can independently handle flushes and invalidations. This segmentation allows the system to reduce overall pipeline stalling by implementing targeted operations, while the complexity is managed through modular, resource-specific control structures rather than a monolithic complex system.
Data Source
AI summary
Systems, apparatuses and methods may provide for technology that detects, by a current stage of a hardware pipeline, a flush request with respect to a first resource and executes, by the current stage, one or more transactions associated with a second resource. Additionally, the current stage may conduct one or more flush operations with respect to the first resource, wherein the one or more transactions associated with the second resource are executed after detection of the flush request and before the one or more flush operations.