Contextual Graphics Configuration Adjuster for Dynamic Performance

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Solution Overview

Problem

Current graphics processing systems face challenges in dynamically adjusting configurations to optimize performance and power consumption based on contextual factors such as user activity, content type, and environmental conditions, leading to suboptimal user experiences and inefficient resource utilization.

Innovation Solution

A contextual configuration adjuster system that utilizes a context engine to gather data from various sources, a recommendation engine to suggest optimal settings, and a configuration engine to adjust graphics parameters like resolution and frame rate, leveraging machine learning to predict user preferences and adapt settings in real-time.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If graphics processing systems use fixed function computational units, then processing reliability is improved, but adaptability deteriorates

Engineering Contradiction:

Improveprocessing reliabilityVSAvoidadaptability

Core Design Contradiction:

ReliabilityVSAdaptability or versatility

Solution Approach 1:

The patent implements a configuration adjuster that dynamically changes operational parameters of graphics processing units based on contextual information. The system transitions from static fixed-function units to dynamic configurable units that can adapt their behavior based on real-time conditions such as user activity, content type, and environmental factors, thereby maintaining reliability while improving adaptability.

Inventive Principle:

Principle #15Dynamics

Solution Approach 2:

The system modifies operational parameters including resolution, frame rate, and power consumption levels based on contextual inputs. By changing these parameters dynamically rather than using fixed settings, the system achieves both reliable processing and adaptive response to different usage scenarios.

Inventive Principle:

Principle #35Parameter changes

2Productivity

If graphics processing systems operate at high performance settings, then productivity is improved, but energy consumption increases

Engineering Contradiction:

Improvegraphics performanceVSAvoidpower consumption

Core Design Contradiction:

ProductivityVSUse of energy by moving object

Solution Approach 1:

The configuration adjuster dynamically balances performance and power consumption by continuously monitoring contextual factors and adjusting graphics processing settings accordingly. The system transitions between high-performance and power-efficient modes based on real-time conditions, achieving both productivity improvement and energy management.

Inventive Principle:

Principle #15Dynamics

Solution Approach 2:

The system changes operational parameters such as resolution, frame rate, and processing throughput based on contextual information. By adjusting these parameters dynamically, the system optimizes the trade-off between graphics performance and power consumption for different usage scenarios.

Inventive Principle:

Principle #35Parameter changes

3Adaptability or versatility

If graphics processing systems use programmable computational units, then adaptability is improved, but device complexity increases

Engineering Contradiction:

ImproveadaptabilityVSAvoiddevice complexity

Core Design Contradiction:

Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The configuration adjuster acts as an autonomous system that automatically monitors contextual information and adjusts graphics processing parameters without requiring complex user intervention or manual configuration. This self-service approach manages the complexity of programmable units by automating the adaptation process.

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The system implements a feedback loop where contextual information from sensors and system state is continuously monitored and used to adjust graphics processing parameters. This feedback mechanism simplifies the management of programmable computational units by using real-time data to automatically optimize performance.

Inventive Principle:

Principle #23Feedback

4Manufacturing precision

If graphics processing systems manually configure settings, then manufacturing precision is improved, but ease of operation deteriorates

Engineering Contradiction:

Improveconfiguration precisionVSAvoidease of operation

Core Design Contradiction:

Manufacturing precisionVSEase of operation

Solution Approach 1:

The configuration adjuster automatically configures graphics processing parameters based on contextual information without requiring manual user input. This self-service capability achieves precise optimization of settings while maintaining ease of operation by eliminating the need for users to manually adjust complex parameters.

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The system uses feedback from contextual sensors and system performance data to automatically adjust configuration parameters. This closed-loop approach achieves manufacturing-level precision in configuration while maintaining ease of operation through automation.

Inventive Principle:

Principle #23Feedback

Data Source

PatentUS11494868B2Contextual configuration adjuster for graphics

Publication Date: 2022.11.08 INTEL CORP

AI summary

An embodiment of a graphics apparatus may include a context engine to determine contextual information, a recommendation engine communicatively coupled to the context engine to determine a recommendation based on the contextual information, and a configuration engine communicatively coupled to the recommendation engine to adjust a configuration of a graphics operation based on the recommendation. Other embodiments are disclosed and claimed.