Intelligent Resource Provisioning for GPU Shadow Structures
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Solution Overview
Problem
Traditional shadow page table technology is inefficient for virtualizing GPU memory access due to sparse shadow data, bi-directional data synchronization, and large graphics memory requirements, particularly in scenarios where multiple virtual machines share a physical GPU.
Innovation Solution
The Intelligent Resource Provisioning for Shadow Structures (IRPSS) method, which includes Automatic Address Space Sharing (AASS) and partial shadowing, optimizes shadow resource utilization by reserving static shadow slots and dynamically switching GTT entries, and only creates shadow copies for sensitive fields, reducing system memory usage and synchronization overhead.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If traditional shadow page table technology is used for GPU memory virtualization, then multiple virtual machines can share a physical GPU, but system memory usage and synchronization overhead increase significantly
Solution Approach 1:
The patent extracts only the essential shadow data fields that require synchronization (e.g., valid bit, dirty bit, protection bits) while leaving non-critical fields in the guest page tables. This selective extraction reduces the amount of shadow data stored in system memory while maintaining the necessary virtualization functionality for GPU sharing.
Solution Approach 2:
The patent applies different quality levels to different fields of the page table entries. Critical fields that affect memory access security and correctness are fully synchronized and shadowed, while non-critical fields are left unsynchronized. This local differentiation optimizes memory usage by focusing synchronization resources only where necessary.
2Reliability
If full shadow page tables are implemented for GPU virtualization, then memory access security is improved, but synchronization overhead increases due to bi-directional data synchronization
Solution Approach 1:
The patent extracts only the essential shadow data fields that require synchronization (e.g., valid bit, dirty bit, protection bits) while leaving non-critical fields in the guest page tables. This selective extraction reduces the amount of shadow data stored in system memory while maintaining the necessary virtualization functionality for GPU sharing.
Solution Approach 2:
Instead of implementing full bi-directional synchronization for all page table fields, the patent applies partial synchronization only to critical fields that affect memory access security. This partial action approach reduces synchronization overhead while maintaining sufficient security for GPU virtualization.
3Adaptability or versatility
If shadow page tables are used to support multiple VMs sharing GPU memory, then virtualization capability is improved, but performance deteriorates due to large graphics memory requirements
Solution Approach 1:
The patent extracts only the essential shadow data fields that require synchronization (e.g., valid bit, dirty bit, protection bits) while leaving non-critical fields in the guest page tables. This selective extraction reduces the amount of shadow data stored in system memory while maintaining the necessary virtualization functionality for GPU sharing.
Solution Approach 2:
Instead of implementing full bi-directional synchronization for all page table fields, the patent applies partial synchronization only to critical fields that affect memory access security. This partial action approach reduces synchronization overhead while maintaining sufficient security for GPU virtualization.
Data Source
AI summary
An apparatus and method are described for intelligent resource provisioning for shadow structures. For example, one embodiment of an apparatus comprises: graphics processing unit (GPU) to process graphics commands and responsively render a plurality of image frames in a graphics memory address space; shadow structure management logic to reserve one or more shadow slots in the graphics memory address space in which to store shadow instances of different GPU contexts; and the shadow structure management logic to implement a partial shadowing policy for shadowing GPU contexts in the shadow slots, the partial shadowing policy based on characteristics of pages of the GPU contexts.


