Advanced Micro Devices had 32 patents in big data during Q1 2024. AMD’s patents for Q1 2024 focus on optimizing data processing pipelines by computing resource usage metrics and generating optimization instructions. They also involve implementing data flows across memory hierarchies, utilizing a data fabric circuit to improve memory access, and enhancing memory controller efficiency in data processing systems. Additionally, AMD’s patents include innovations in memory systems with three-dimensional memory stacks for improved memory access and management. GlobalData’s report on Advanced Micro Devices gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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Advanced Micro Devices grant share with big data as a theme is 34% in Q1 2024. Grant share is based on the ratio of number of grants to total number of patents.
Recent Patents
Application: Memory control for data processing pipeline optimization (Patent ID: US20240103719A1)
The patent filed by Advanced Micro Devices Inc. describes a system for generating optimization instructions for data processing pipelines. This system computes resource usage information and data storage information for each stage of the pipeline to control memory operations efficiently. The optimization instructions can discard data, evict, write-back, or prefetch data to minimize latency during pipeline execution. The method involves monitoring processor capacity and memory transactions during pipeline execution to generate these optimization instructions, which can be based on user input as well.
Furthermore, the patent details a method for executing a data processing pipeline with multiple stages, where output data is stored in memory locations and optimization instructions are received to control data handling. These instructions can cause data to be discarded from memory after being retrieved by another stage, improving efficiency. The system includes processors for computing resource usage information, generating data storage information, and executing the pipeline based on the optimization instructions, ultimately enhancing the performance of data processing pipelines.
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GlobalData, the leading provider of industry intelligence, provided the underlying data, research, and analysis used to produce this article.
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.
