A META-DATA BLOCK WITHIN A NON-VOLATILE MEMORY DEVICE

    公开(公告)号:US20170315729A1

    公开(公告)日:2017-11-02

    申请号:US15518209

    申请日:2014-10-31

    Abstract: Example implementations relate to a method of tracking data in a non-volatile memory device (NVM) device. A meta-data block from the NVM device is obtained, where the meta-data block includes meta-data. The meta-data block from the NVM device is used to track an associated data object, meta-data in the data block, a user data block, a meta-data block, or an additional data block. The meta-data block from the NVM device is used to point to the associated data object, the meta-data in the data block, the user data block, the meta-data block, or the additional data block. The meta-data block from the NVM device is further used to link the associated data object, the meta-data in the data block, the user data block, the meta-data block, or the additional data block.

    Meta-data block within a non-volatile memory device

    公开(公告)号:US10235078B2

    公开(公告)日:2019-03-19

    申请号:US15518209

    申请日:2014-10-31

    Abstract: Example implementations relate to a method of tracking data in a non-volatile memory device (NVM) device. A meta-data block from the NVM device is obtained, where the meta-data block includes meta-data. The meta-data block from the NVM device is used to track an associated data object, meta-data in the data block, a user data block, a meta-data block, or an additional data block. The meta-data block from the NVM device is used to point to the associated data object, the meta-data in the data block, the user data block, the meta-data block, or the additional data block. The meta-data block from the NVM device is further used to link the associated data object, the meta-data in the data block, the user data block, the meta-data block, or the additional data block.

    Systems and methods for aggregate bandwidth and latency optimization

    公开(公告)号:US11128531B2

    公开(公告)日:2021-09-21

    申请号:US15967583

    申请日:2018-04-30

    Abstract: Systems and methods for dynamically and programmatically controlling hardware and software to optimize bandwidth and latency across partitions in a computing system are discussed herein. In various embodiments, performance within a partitioned computing system may be monitored and used to automatically reconfigure the computing system to optimize aggregate bandwidth and latency. Reconfiguring the computing system may comprise reallocating hardware resources among partitions, programming firewalls to enable higher bandwidth for specific inter-partition traffic, switching programming models associated with individual partitions, starting additional instances of one or more applications running on the partitions, and/or one or more other operations to optimize the overall aggregate bandwidth and latency of the system.

    DATA PROCESSING APPARATUSES AND METHODS
    7.
    发明申请

    公开(公告)号:US20190303249A1

    公开(公告)日:2019-10-03

    申请号:US15942925

    申请日:2018-04-02

    Abstract: Example implementations relate to an apparatus to support providing a computing service to a client including transferring control between a primary data processing system and a secondary data processing system in response to an event; the primary data processing system comprising a processor and associated memory and the secondary data processing system comprising a processor and associated memory; the apparatus comprising: circuitry to identify restoration data; the restoration data comprising at least data associated with at least one predetermined type of memory operation of the memory associated with the primary data processing system, and circuitry to output any identified restoration data for storage in the memory associated with the processor of the secondary data processing system.

    RECOVERING STRANDED DATA
    8.
    发明申请

    公开(公告)号:US20190114241A1

    公开(公告)日:2019-04-18

    申请号:US16215252

    申请日:2018-12-10

    Abstract: A node for a computing system may include a memory module, a main node processor and a management processor. The memory module may include a non-volatile memory, a module memory controller having a main bus interface for connection to a main bus and a management device providing access to the nonvolatile memory through a sideband management bus. The main node processor is connected to the module memory controller and has a main bus interface for connection to a main. The management processor has a side band interface for connection to the side band management bus. The side band management processor detects a failure of the node and, in response thereto, copies data from the non-volatile memory of the memory module to another node across the side band management bus.

    Recovering stranded data
    9.
    发明授权

    公开(公告)号:US10657016B2

    公开(公告)日:2020-05-19

    申请号:US16215252

    申请日:2018-12-10

    Abstract: A node for a computing system may include a memory module, a main node processor and a management processor. The memory module may include a non-volatile memory, a module memory controller having a main bus interface for connection to a main bus and a management device providing access to the non-volatile memory through a sideband management bus. The main node processor is connected to the module memory controller and has a main bus interface for connection to a main bus. The management processor has a sideband interface for connection to the sideband management bus. The sideband management processor detects a failure of the node and, in response thereto, copies data from the non-volatile memory of the memory module to another node across the sideband management bus.

    SYSTEMS AND METHODS FOR AGGREGATE BANDWIDTH AND LATENCY OPTIMIZATION

    公开(公告)号:US20190334771A1

    公开(公告)日:2019-10-31

    申请号:US15967583

    申请日:2018-04-30

    Abstract: Systems and methods for dynamically and programmatically controlling hardware and software to optimize bandwidth and latency across partitions in a computing system are discussed herein. In various embodiments, performance within a partitioned computing system may be monitored and used to automatically reconfigure the computing system to optimize aggregate bandwidth and latency. Reconfiguring the computing system may comprise reallocating hardware resources among partitions, programming firewalls to enable higher bandwidth for specific inter-partition traffic, switching programming models associated with individual partitions, starting additional instances of one or more applications running on the partitions, and/or one or more other operations to optimize the overall aggregate bandwidth and latency of the system.

Patent Agency Ranking