18063774. SYSTEMS AND METHODS FOR ADAPTIVE MANAGEMENT OF PROCESSORS OF A HETEROGENEOUS COMPUTING PLATFORM simplified abstract (Dell Products, L.P.)
Contents
SYSTEMS AND METHODS FOR ADAPTIVE MANAGEMENT OF PROCESSORS OF A HETEROGENEOUS COMPUTING PLATFORM
Organization Name
Inventor(s)
Daniel L. Hamlin of Round Rock TX (US)
Suraj M Varma of Portland OR (US)
Travis C. North of Cedar Park TX (US)
SYSTEMS AND METHODS FOR ADAPTIVE MANAGEMENT OF PROCESSORS OF A HETEROGENEOUS COMPUTING PLATFORM - A simplified explanation of the abstract
This abstract first appeared for US patent application 18063774 titled 'SYSTEMS AND METHODS FOR ADAPTIVE MANAGEMENT OF PROCESSORS OF A HETEROGENEOUS COMPUTING PLATFORM
Simplified Explanation: The patent application describes systems and methods for managing processors in a heterogeneous computing platform of Information Handling Systems (IHS). An orchestrator device adjusts power allocations for multiple processors based on user context changes, optimizing performance.
- The patent application focuses on managing processors in a heterogeneous computing platform.
- An orchestrator device adjusts power allocations for multiple processors based on user context changes.
- The technology aims to optimize performance by dynamically configuring power usage for each processor.
Potential Applications: 1. Data centers with diverse computing needs could benefit from optimized processor management. 2. Mobile devices could enhance battery life by adjusting processor performance based on user context. 3. Autonomous vehicles could improve real-time decision-making by dynamically allocating processing power.
Problems Solved: 1. Efficiently managing processors in a heterogeneous computing environment. 2. Adapting processor performance to changing user contexts. 3. Optimizing power usage for improved overall system performance.
Benefits: 1. Enhanced system performance through dynamic power allocation. 2. Improved energy efficiency in computing platforms. 3. Better user experience by adapting processor performance to user needs.
Commercial Applications: Optimizing processor performance in heterogeneous computing platforms can benefit industries such as data centers, mobile devices, and autonomous vehicles by improving efficiency and user experience.
Prior Art: Readers interested in prior art related to this technology could explore research on power management in heterogeneous computing systems and dynamic processor allocation based on user context.
Frequently Updated Research: Stay informed about advancements in power management algorithms for heterogeneous computing platforms and research on adaptive processor performance based on user context.
Questions about Processor Management in Heterogeneous Computing Platforms: 1. How does the orchestrator device determine power allocations for multiple processors? 2. What are the potential challenges in implementing dynamic power allocation based on user context in heterogeneous computing platforms?
Original Abstract Submitted
Systems and methods for managing processors of a 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 a context of operation of the IHS by a user and. Based on the context, the orchestrator determines power allocations for the two or more discrete processors, where the power allocations are mapped to the reported user context. The orchestrator configures the power that is available for use by each of the two or more discrete processors of the heterogeneous computing platform, and thus adjusts the performance of the processors in response to the change in user context.
