Macronix International had two patents in big data during Q1 2024. Macronix International Co Ltd filed a patent for a memory structure with a page buffer and search word input for efficient data retrieval. Another patent was filed for a semiconductor structure with multiple layers and substrates for improved circuit performance. GlobalData’s report on Macronix International gives a 360-degree view of the company including its patenting strategy. Buy the report here.

Macronix International had no grants in big data as a theme in Q1 2024.

Recent Patents

Application: Page buffer counting for in-memory search (Patent ID: US20240062833A1)

The patent filed by Macronix International Co Ltd describes a memory system, such as a 3D NAND array, that includes a page buffer with storage elements and sensing circuitry to compare input search words with stored data words. The system uses logic circuitry to accumulate match sense signals over a sequence of input search words, determining a match based on a threshold and the accumulated signals. The memory system also includes a controller for memory operations and a register to store the threshold for matching.

The memory system further details the configuration of NAND strings in the array, the connection of memory cells to the page buffer via bit lines, and the use of storage elements in the page buffer cells to accumulate match sense signals for stored data words. The system can implement a shift register or counter using the storage elements for accumulation, with the ability to execute memory operations using the accumulated data. Additionally, the method for operating the memory system involves storing data words, applying search words, accumulating match sense signals, and determining matches based on a threshold, with options for configuring the storage elements as a shift register or counter for accumulation.

To know more about GlobalData’s detailed insights on Macronix International, buy the report here.

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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.