Fujitsu had seven patents in big data during Q1 2024. Fujitsu Ltd filed patents in Q1 2024 for a matrix operation program that optimizes processing by dividing matrices into blocks based on storage capacity, a data processing device with common and specific digital twins for efficient data processing, and a data processing program for optimizing solutions to optimization problems using replica circuits and temperature values. GlobalData’s report on Fujitsu gives a 360-degree view of the company including its patenting strategy. Buy the report here.

Fujitsu grant share with big data as a theme is 14% in Q1 2024. Grant share is based on the ratio of number of grants to total number of patents.

Recent Patents

Application: Computer-readable recording medium storing matrix operation program, matrix operation method, and information processing apparatus (Patent ID: US20240095303A1)

The patent filed by Fujitsu Ltd. describes a computer-readable recording medium that stores a matrix operation program for a computer. The program enables the computer to perform matrix operations by combining columns in a matrix, obtaining products of rows, and calculating sums of the products for all column combinations. The matrix is divided into blocks based on column data size and storage capacity, allowing efficient processing by accessing a second storage before the first storage. This approach enhances the speed of calculation processing by executing operations for each block of the divided column group.

Furthermore, the patent includes claims related to the application of the matrix operation program in data analysis, specifically in customer purchase history. It also details the use of cache memory and main memory for multithreading to optimize processing speed. The method involves dividing the matrix into blocks to prevent cache misses, ensuring efficient execution. Additionally, the patent outlines a specific equation for determining the number of blocks for division based on column data size and storage capacity. Overall, the patent focuses on improving the efficiency and speed of matrix operations through intelligent storage management and processing strategies.

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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.