Virtual GPU Graphics Asset Delivery via Caching
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Solution Overview
Problem
The complexity of managing and provisioning resources in large-scale distributed systems, particularly in virtualized environments, increases the challenge of efficient graphics processing and asset delivery, leading to higher network latency and resource utilization inefficiencies.
Innovation Solution
The implementation of virtualized graphics processing in a provider network, where virtual compute instances are provisioned with virtual GPUs, utilizing compact identifiers for graphics assets and an asset management service to reduce data transfer and optimize performance through caching and pre-fetching, while ensuring secure access and scalability.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If graphics assets are transferred from virtual compute instances to virtual GPUs, then graphics processing can be performed, but network latency increases and resource utilization efficiency decreases
Solution Approach 1:
The system segments graphics asset management by creating separate storage locations for different types of graphics assets (textures, shaders, geometry data) and assigning them to different storage devices or locations. This allows virtual GPUs to access assets from optimized storage locations rather than transferring all assets through the virtual compute instance, reducing network latency and improving access efficiency.
Solution Approach 2:
The patent introduces a graphics asset management service as an intermediary component that sits between the virtual compute instances and virtual GPUs. This service manages the storage, retrieval, and delivery of graphics assets, optimizing the data flow and reducing unnecessary network transfers. The intermediary handles asset caching, pre-fetching, and direct delivery to virtual GPUs, thereby reducing network latency and improving resource utilization.
2Adaptability or versatility
If graphics assets are stored and managed centrally, then asset sharing among applications is enabled, but access complexity and management overhead increase
Solution Approach 1:
The graphics asset management service provides universal access to graphics assets for multiple virtual GPUs and applications simultaneously. A single asset storage system serves multiple clients, enabling efficient asset sharing without requiring separate asset copies for each application. The service handles authentication, authorization, and delivery to multiple consumers, reducing management overhead while maintaining versatile access capabilities.
Solution Approach 2:
The system implements feedback mechanisms where the graphics asset management service monitors asset access patterns, usage frequency, and performance metrics. Based on this feedback, the service dynamically adjusts asset caching strategies, pre-fetching behaviors, and storage allocation. This automated feedback loop reduces manual management complexity while optimizing asset delivery performance and enabling efficient sharing among multiple applications.
Data Source
AI summary
Methods, systems, and computer-readable media for disaggregated graphics asset delivery for virtualized graphics are disclosed. A virtual compute instance with attached virtual GPU is provisioned in a multi-tenant provider network. The virtual compute instance is implemented using a physical compute instance, and the virtual GPU is implemented using a physical GPU. An application comprising identifiers of graphics assets is executed on the virtual compute instance. Executing the application comprises sending graphics instructions and the identifiers from the virtual compute instance to the virtual GPU. The graphics assets are obtained by the virtual GPU from a graphics asset repository using the identifiers. The graphics instructions are executed on the virtual GPU using the graphics assets corresponding to the identifiers.