Electricite de France has patented a system for optimizing computational resource allocation in solving physical problems. The method involves calculating a design of experiment with prioritized software tasks and scheduling their execution based on resource availability, ensuring efficient use of interconnected microprocessors. GlobalData’s report on Electricite de France gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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According to GlobalData’s company profile on Electricite de France, Battery management systems was a key innovation area identified from patents. Electricite de France's grant share as of June 2024 was 68%. Grant share is based on the ratio of number of grants to total number of patents.
Method for scheduling software tasks in computing systems
The patent US12039367B2 outlines a method and system for optimizing the use of computational resources in a computing system composed of multiple interconnected microprocessors operating in parallel. The method involves calculating a design of experiment that includes a series of software tasks aimed at addressing a specific physical problem, defined by input and output parameters. This design is influenced by a predetermined computational budget, with tasks assigned a first priority level. The process includes determining an experimental space from the input parameters, meshing this space into calculation points, and selecting a set of these points based on the available computational budget. Additionally, the system is designed to schedule the execution of tasks by checking for higher-priority tasks and reallocating resources as necessary.
Further details of the method include mechanisms for freeing up computational resources, which may involve halting lower-priority tasks and saving their runtime environments if no resources are available. The design of experiment can utilize supervised learning algorithms, such as Gaussian process regression models, to enhance its effectiveness. The iterative nature of the design allows for adjustments based on previous execution results, with the computational budget recalculated at each iteration. The process continues until a stopping criterion is met, particularly when the remaining budget is exhausted. Overall, the patent presents a structured approach to efficiently manage computational tasks in complex systems, ensuring that higher-priority tasks are executed promptly while optimizing resource allocation.
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GlobalData Patent Analytics tracks bibliographic data, legal events data, point in time patent ownerships, and backward and forward citations from global patenting offices. Textual analysis and official patent classifications are used to group patents into key thematic areas and link them to specific companies across the world’s largest industries.
