Unified Encryption Across Multi-Vendor GPUs
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Solution Overview
Problem
Compute service providers face challenges in maximizing the use of expensive hardware accelerator resources like GPUs across multiple vendors without requiring developers to rewrite acceleration solutions for each GPU type, as existing solutions lack transparency and universality.
Innovation Solution
Implementing unified encryption across multi-vendor graphics processing units through a cryptographic processor that prefetches and decrypts encrypted data in a local cache, enabling timely access for compute processors while managing different encryption techniques used by various GPU manufacturers.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If developers implement separate acceleration solutions for each GPU vendor, then encryption compatibility across different GPU types is improved, but device complexity and development effort increase significantly
Solution Approach 1:
The patent implements a universal encryption interface layer that works across multiple GPU vendors (NVIDIA, AMD, Intel) without requiring vendor-specific implementations. This single unified solution provides multi-vendor compatibility, eliminating the need for separate acceleration solutions for each GPU type while maintaining encryption compatibility across all supported hardware.
Solution Approach 2:
The patent introduces an intermediary encryption management layer between the application and the GPU hardware. This mediator handles the complexity of different encryption techniques from various vendors through a standardized interface, shielding developers from vendor-specific details while ensuring broad compatibility.
2Reliability
If encryption is performed during compute operations, then data security is improved, but processing speed and productivity decrease
Solution Approach 1:
The patent performs encryption and decryption operations in advance during data transfer between host memory and GPU memory, rather than during compute operations. By prefetching and decrypting data before it reaches the GPU compute units, the system ensures data security while allowing compute operations to proceed at full speed on already-decrypted data.
Solution Approach 2:
The patent implements continuous encryption/decryption operations that occur concurrently with data transfer and compute operations. The encryption layer operates continuously in the background during memory transfers, ensuring security without interrupting the main computational workflow and maintaining processing throughput.
3Reliability
If vendor-specific encryption solutions are used, then encryption technique compatibility is improved, but adaptability across different GPU vendors deteriorates
Solution Approach 1:
The patent creates a universal encryption interface that supports multiple GPU vendors (NVIDIA, AMD, Intel) through a single unified implementation. The system automatically adapts to different vendor-specific encryption techniques while presenting a consistent interface to applications, achieving both encryption compatibility and multi-vendor adaptability simultaneously.
Solution Approach 2:
The patent dynamically adjusts encryption parameters and techniques based on the detected GPU vendor and hardware capabilities. By changing encryption parameters adaptively according to the specific vendor while maintaining a consistent interface, the system achieves vendor-specific optimization without sacrificing multi-vendor support.
Data Source
AI summary
An apparatus comprises a local computer readable memory, a compute processor comprising one or more processing resources to execute a compute process, and a cryptographic processor to prefetch encrypted compute data for the compute processor and decrypt the compute data prior to making the compute data accessible to the compute processor.