Memory, controller and computing system capable of reducing power consumption

    公开(公告)号:US12050515B2

    公开(公告)日:2024-07-30

    申请号:US18194511

    申请日:2023-03-31

    申请人: SK hynix Inc.

    IPC分类号: G11C29/00 G06F11/07 G06F11/10

    CPC分类号: G06F11/1068 G06F11/076

    摘要: A computing system comprises a memory and a controller, and the controller is configured to store a first type of data and a second type of data in the memory, to divide the first type of data into a first part and a second part, to generate parity information on the first part and to store the parity information in the memory, and a refresh interval of a region of the memory where the first type of data is stored is larger than a refresh interval of a region of the memory where the second type of data is stored.

    Deep neural network implementation for soft decoding of BCH code

    公开(公告)号:US12050514B1

    公开(公告)日:2024-07-30

    申请号:US18184872

    申请日:2023-03-16

    IPC分类号: G06F11/10 H03M13/15

    CPC分类号: G06F11/1068 H03M13/152

    摘要: Systems, methods, non-transitory computer-readable media to perform operations associated with the storage medium. One system includes a storage medium and an encoding/decoding (ED) system to perform operations associated with the storage medium, the ED system being configured to process a set of log-likelihood ratios (LLRs) and a syndrome vector to obtain a set of confidence values for each bit of a codeword, estimate an error vector based on selecting one or more bit locations with confidence values from the set of confidence values above threshold value and applying hard decision decoding to the selected one or more bit locations, calculate a sum LLR score for the estimated error vector, and output a decoded codeword based on the estimated error vector and the sum LLR score.

    APPARATUSES, SYSTEMS, AND METHODS FOR PER ROW ERROR SCRUB INFORMATION

    公开(公告)号:US20240248796A1

    公开(公告)日:2024-07-25

    申请号:US18625539

    申请日:2024-04-03

    IPC分类号: G06F11/10

    CPC分类号: G06F11/106

    摘要: Apparatuses, systems, and methods for per row error correct and scrub (pRECS) information. There may be pRECS information associated with each row, and it may reflect a number of codewords stored along that row which were determined to include an error during error correct and scrub (ECS) operations. The memory may store the pRECS information in the memory array, for example, each row may store the pRECS information associated with that row.