18062737. SYSTEMS AND METHODS FOR ADAPTIVE RESPONSIVENESS IN A HETEROGENEOUS COMPUTING PLATFORM simplified abstract (Dell Products, L.P.)
Contents
- 1 SYSTEMS AND METHODS FOR ADAPTIVE RESPONSIVENESS IN A HETEROGENEOUS COMPUTING PLATFORM
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 SYSTEMS AND METHODS FOR ADAPTIVE RESPONSIVENESS IN A HETEROGENEOUS COMPUTING PLATFORM - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Key Features and Innovation
- 1.6 Potential Applications
- 1.7 Problems Solved
- 1.8 Benefits
- 1.9 Commercial Applications
- 1.10 Prior Art
- 1.11 Frequently Updated Research
- 1.12 Questions about Heterogeneous Computing Platforms
- 1.13 Original Abstract Submitted
SYSTEMS AND METHODS FOR ADAPTIVE RESPONSIVENESS IN A HETEROGENEOUS COMPUTING PLATFORM
Organization Name
Inventor(s)
Suraj M Varma of Portland OR (US)
Daniel L. Hamlin of Round Rock TX (US)
Travis C. North of Cedar Park TX (US)
SYSTEMS AND METHODS FOR ADAPTIVE RESPONSIVENESS IN A HETEROGENEOUS COMPUTING PLATFORM - A simplified explanation of the abstract
This abstract first appeared for US patent application 18062737 titled 'SYSTEMS AND METHODS FOR ADAPTIVE RESPONSIVENESS IN A HETEROGENEOUS COMPUTING PLATFORM
Simplified Explanation
The patent application describes systems and methods for managing performance in heterogeneous computing platforms of Information Handling Systems (IHS). It involves adjusting thread management policies of processors based on changes in user context to optimize performance.
- The patent involves managing performance in heterogeneous computing platforms.
- It includes adjusting thread management policies of processors based on changes in user context.
- The goal is to optimize performance of the Information Handling Systems (IHS).
Key Features and Innovation
- Managing performance in heterogeneous computing platforms.
- Adjusting thread management policies based on changes in user context.
- Optimization of performance in Information Handling Systems (IHS).
Potential Applications
The technology can be applied in various fields such as:
- Cloud computing
- Edge computing
- High-performance computing
Problems Solved
The technology addresses the following problems:
- Efficient performance management in heterogeneous computing platforms.
- Dynamic adjustment of thread management policies based on user context.
Benefits
- Improved performance optimization in Information Handling Systems.
- Enhanced user experience through dynamic responsiveness settings.
- Efficient resource utilization in heterogeneous computing platforms.
Commercial Applications
- Cloud service providers can benefit from improved performance management.
- Edge computing companies can optimize resource allocation.
- High-performance computing industries can enhance processing capabilities.
Prior Art
Readers can explore prior art related to performance management in heterogeneous computing platforms in the field of computer science and information technology.
Frequently Updated Research
Stay updated on the latest research in performance optimization in heterogeneous computing platforms to leverage cutting-edge technologies and advancements.
Questions about Heterogeneous Computing Platforms
What are the key challenges in managing performance in heterogeneous computing platforms?
Managing performance in heterogeneous computing platforms involves addressing issues related to resource allocation, task scheduling, and optimization across different types of processors.
How does adjusting thread management policies based on user context improve performance in Information Handling Systems?
By dynamically changing thread management policies in response to changes in user context, the system can optimize resource allocation and processing efficiency, leading to improved performance in Information Handling Systems.
Original Abstract Submitted
Systems and methods for managing performance in heterogenous computing platforms of IHS (Information Handling Systems) are described. In an illustrative, non-limiting embodiment, a heterogeneous computing platform includes devices and a memory storing firmware instructions. Based on execution of these firmware instructions by a respective device, a corresponding firmware service is provided such that one of the devices operates as an orchestrator. The orchestrator receives reports of changes in context of operation of the IHS by a user and based on the change in user context, determines responsiveness settings that are mapped to the reported user context, where the responsiveness settings adjust thread management policies by one or more processors of the heterogeneous computing platform. The orchestrator configures the one or more processors of the heterogeneous computing platform based on the responsiveness settings, and thus adjusts the performance of the IHS in response to the change in user context.
