GPU Error Injection Architecture for RAS Compliance

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Solution Overview

Problem

Current graphics processing units (GPUs) lack effective mechanisms for detecting and correcting errors, which are crucial for maintaining reliability, availability, and serviceability (RAS) in datacenter environments, particularly in AI and machine learning applications where hardware resiliency is essential.

Innovation Solution

An error injection architecture is introduced within the GPU to simulate and detect errors, allowing for error detection, logging, and correction, thereby enhancing the GPU's ability to maintain reliability and availability.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If traditional fixed function computational units are used in graphics processors, then processing speed for graphics operations is maintained, but reliability and error detection capability deteriorate

Engineering Contradiction:
Improveerror detection capabilityVSAvoidprocessor architecture complexity
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The patent implements a unified error injection architecture that serves multiple functions: detecting errors, logging errors, correcting errors, and reporting errors. This multi-functional approach is integrated into the existing graphics processor architecture without requiring completely separate dedicated systems, thereby improving reliability while controlling the increase in device complexity.

Inventive Principle:
Principle #6Universality (Multi-functionality)

Solution Approach 2:

The patent introduces an error injection mechanism that acts as an intermediary between the computational units and the error detection system. This intermediary component enables errors to be injected, detected, and handled systematically, bridging the gap between high-speed processing and reliable error management without requiring fundamental architectural changes.

Inventive Principle:
Principle #24Intermediary (Mediator)

2Productivity

If parallel processing techniques such as SIMD and SIMT are implemented, then processing efficiency and productivity increase, but error detection and reliability decrease

Engineering Contradiction:
Improveparallel processing efficiencyVSAvoiderror detection capability
Core Design Contradiction:
ProductivityVSReliability

Solution Approach 1:

The patent segments the parallel processing architecture into multiple independent threads or wavefronts, each capable of being tracked and monitored individually. This segmentation allows error detection mechanisms to identify and isolate errors within specific segments without affecting the entire parallel processing system, thus maintaining high productivity while improving reliability through targeted error detection.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The patent implements feedback mechanisms that continuously monitor the execution of parallel threads and provide real-time error detection. When errors are detected in parallel processing operations, the feedback system enables correction or isolation of affected threads, allowing the system to maintain high parallel processing efficiency while ensuring reliability through active error monitoring and response.

Inventive Principle:
Principle #23Feedback

3Reliability

If hardware resiliency features are added to meet RAS requirements, then reliability and availability improve, but device complexity and manufacturing difficulty increase

Engineering Contradiction:
Improvehardware resiliencyVSAvoidmanufacturing complexity
Core Design Contradiction:
ReliabilityVSEase of manufacture

Solution Approach 1:

The patent merges error injection, detection, logging, correction, and reporting functions into a unified architecture that leverages existing hardware resources. By combining these functions rather than implementing them as separate dedicated systems, the patent improves hardware resiliency while minimizing the increase in manufacturing complexity and device fabrication difficulty.

Inventive Principle:
Principle #5Merging (Combining)

Solution Approach 2:

The patent implements self-service mechanisms where the error detection and correction systems utilize existing hardware components and processing capabilities. The system monitors and corrects errors using its own computational resources, reducing the need for entirely separate dedicated hardware and simplifying the manufacturing process while maintaining high reliability and availability.

Inventive Principle:
Principle #25Self-service

Data Source

PatentUS20250209003A1Error injection architecture in a processing environment
Publication Date: 2025.06.26 INTEL CORP
  • US20250209003A1 patent drawing
  • US20250209003A1 patent drawing
  • US20250209003A1 patent drawing

AI summary

An apparatus to facilitate an error injection architecture in a processing environment is disclosed. The apparatus includes at least one register to enable an error injection; and error injection hardware circuitry communicably coupled to the at least one register, wherein the error injection hardware circuitry is to: determine a type of the error injection configured in the at least one register, wherein the at least one register is configured via a memory-mapped input/output (MMIO) interface of the error injection hardware circuitry; inject an error in accordance with the type of the error injection, wherein the error is injected to at least one of a parity-protected storage unit, an error correction code (ECC)-protected storage unit, a parity-protected fabric agent, or an ECC-protected fabric agent; and log a status of the error injection using the at least one register.