Intel had 69 patents in big data during Q1 2024. Intel Corp’s patents in Q1 2024 focus on methods for efficient partitioning and construction of graphs for scalable high-performance search applications, decomposing 64-bit per-lane virtual addresses for multi-lane parallel processing execution resources, offloading address calculations for data element access in graphics processors, and facilitating workload scheduling with hardware resources and scheduling logic. GlobalData’s report on Intel gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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Intel grant share with big data as a theme is 42% in Q1 2024. Grant share is based on the ratio of number of grants to total number of patents.
Recent Patents
Application: Repurposing of cloud service provider information system resources installed at a remote customer location (Patent ID: US20240104579A1)
The patent filed by Intel Corp describes a method where a service provider can access data indicating that a portion of an information systems infrastructure installed at a tenant's location can be used to provide information services to entities other than the tenant. The service provider then provides these information services to the entities using the available portion of the infrastructure. The method aims to optimize the utilization of resources and improve efficiency by leveraging existing infrastructure for multiple entities.
The claims associated with the patent outline specific scenarios and conditions under which the method can be implemented, such as different Internet domain names for the tenant and entities, varying network prefixes, and geographical remoteness of the infrastructure from the service provider's primary systems. The method also includes provisions for recognizing under-utilization of infrastructure by the tenant and excessive power consumption by the service provider's systems. Overall, the patent focuses on enabling service providers to efficiently allocate resources and provide information services to multiple entities using shared infrastructure, potentially leading to cost savings and improved performance.
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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.
