STORAGE OF A MATRIX ON A STORAGE COMPUTE DEVICE
    1.
    发明申请
    STORAGE OF A MATRIX ON A STORAGE COMPUTE DEVICE 审中-公开
    存储计算设备上的矩阵存储

    公开(公告)号:US20150326245A1

    公开(公告)日:2015-11-12

    申请号:US14704128

    申请日:2015-05-05

    CPC classification number: G06F17/16 H03M7/30 H03M7/4031

    Abstract: A compressed format is selected for storage of a matrix based on a computation to be performed using the matrix and architecture of a storage compute device to which the matrix is stored. Data of the matrix is stored on the storage compute device according to the compressed format. The computation is performed using the data via a computation unit that resides within the storage compute device.

    Abstract translation: 选择用于存储矩阵的压缩格式,该矩阵基于要使用存储矩阵的存储计算设备的矩阵和架构来执行的计算。 矩阵的数据根据​​压缩格式存储在存储计算设备上。 使用驻留在存储计算设备内的计算单元使用数据来执行计算。

    STORAGE COMPUTE DEVICE WITH TIERED MEMORY PROCESSING
    2.
    发明申请
    STORAGE COMPUTE DEVICE WITH TIERED MEMORY PROCESSING 有权
    具有分层存储处理的存储电脑设备

    公开(公告)号:US20150324125A1

    公开(公告)日:2015-11-12

    申请号:US14704111

    申请日:2015-05-05

    Abstract: A data object is received at a storage compute device in response to a request from a host. A requirement of the data object is determined based on a computation to be performed on the data object. The requirement related to at least speed and capacity of media used to store the data object. A tier is selected from the storage compute device based on speed and capacity characteristics of the selected tier corresponding to the requirement of the data object. The data object is stored in the selected tier.

    Abstract translation: 响应于来自主机的请求,在存储计算设备处接收数据对象。 基于要对数据对象执行的计算来确定数据对象的要求。 该要求至少与用于存储数据对象的媒体的速度和容量有关。 基于与数据对象的要求相对应的所选层的速度和容量特性,从存储计​​算设备中选择层。 数据对象存储在所选层中。

    LOGICAL BLOCK ADDRESSES USED FOR EXECUTING HOST COMMANDS
    4.
    发明申请
    LOGICAL BLOCK ADDRESSES USED FOR EXECUTING HOST COMMANDS 有权
    用于执行主机命令的逻辑块地址

    公开(公告)号:US20160117121A1

    公开(公告)日:2016-04-28

    申请号:US14522160

    申请日:2014-10-23

    Abstract: A logical block address space of a storage compute device is reserved for use in executing commands from a host. The logical block address space is not mapped to a physical address space. First data is received at a first portion of the logical block address space, the first data causing a computation to be performed by the storage compute device. Second data is sent to the host via a second portion of the logical block address space, the second data describing a result of the computation.

    Abstract translation: 保留用于执行来自主机的命令的存储计算设备的逻辑块地址空间。 逻辑块地址空间未映射到物理地址空间。 第一数据在逻辑块地址空间的第一部分被接收,第一数据导致由存储计算设备执行计算。 第二数据经由逻辑块地址空间的第二部分发送到主机,第二数据描述计算结果。

    MANAGING DATA WITHIN A STORAGE DEVICE BASED ON FILE SYSTEM METADATA
    5.
    发明申请
    MANAGING DATA WITHIN A STORAGE DEVICE BASED ON FILE SYSTEM METADATA 有权
    在基于文件系统元数据的存储设备中管理数据

    公开(公告)号:US20160041778A1

    公开(公告)日:2016-02-11

    申请号:US14453200

    申请日:2014-08-06

    Abstract: Commands associated with one or more logical block addresses are received via a host interface of a storage device. Based on a timing and sequence of the commands, an extent of a file that contains the logical block addresses is determined, the file being stored on the storage device. The logical block addresses are managed internally as a unitary data structure based on determining an association between the logical block addresses and the file.

    Abstract translation: 通过存储设备的主机接口接收与一个或多个逻辑块地址相关联的命令。 基于命令的定时和顺序,确定包含逻辑块地址的文件的范围,该文件被存储在存储设备上。 基于确定逻辑块地址和文件之间的关联,逻辑块地址在内部被管理为单一数据结构。

    Logical block addresses used for executing host commands
    7.
    发明授权
    Logical block addresses used for executing host commands 有权
    用于执行主机命令的逻辑块地址

    公开(公告)号:US09542122B2

    公开(公告)日:2017-01-10

    申请号:US14522160

    申请日:2014-10-23

    Abstract: A logical block address space of a storage compute device is reserved for use in executing commands from a host. The logical block address space is not mapped to a physical address space. First data is received at a first portion of the logical block address space, the first data causing a computation to be performed by the storage compute device. Second data is sent to the host via a second portion of the logical block address space, the second data describing a result of the computation.

    Abstract translation: 保留用于执行来自主机的命令的存储计算设备的逻辑块地址空间。 逻辑块地址空间未映射到物理地址空间。 第一数据在逻辑块地址空间的第一部分被接收,第一数据导致由存储计算设备执行计算。 第二数据经由逻辑块地址空间的第二部分发送到主机,第二数据描述计算结果。

    SWITCHABLY ACTIVATED HEAT TRANSFER WITH MAGNETIC FLUID
    8.
    发明申请
    SWITCHABLY ACTIVATED HEAT TRANSFER WITH MAGNETIC FLUID 有权
    具有磁性液体的切换激活热传递

    公开(公告)号:US20160216043A1

    公开(公告)日:2016-07-28

    申请号:US14606243

    申请日:2015-01-27

    Abstract: An apparatus includes a heat pipe with a fluid path. A first part of the fluid path is thermally coupled to a first region of a higher temperature and a second part of the fluid path thermally is coupled to a second region of a lower temperature. A difference between the higher temperature and the lower temperature induces a flow of a magnetic fluid in the fluid path. A switchable magnetic device is magnetically coupled to the fluid path. Activation of the switchable magnetic device reduces the flow of the magnetic fluid in the fluid path, which reduces heat transfer from the first region to the second region.

    Abstract translation: 一种装置包括具有流体路径的热管。 流体路径的第一部分热耦合到较高温度的第一区域,热流体路径的第二部分耦合到较低温度的第二区域。 较高温度和较低温度之间的差异引起流体路径中的磁性流体的流动。 可切换磁性装置磁耦合到流体路径。 可切换磁性装置的激活减少了流体路径中的磁性流体的流动,这减少了从第一区域到第二区域的热传递。

    Adaptive configuration of a neural network device

    公开(公告)号:US10331997B2

    公开(公告)日:2019-06-25

    申请号:US14522192

    申请日:2014-10-23

    Abstract: A first input is processed via a first configuration of a neural network to produce a first output. The first configuration defines attributes of the neural network, such as connections between neural elements of the neural network. If the neural network requires a context switch to process a second input, a second configuration is applied to the neural network to change the attributes, and the second input is processed via the second configuration of the neural network to produce a second output.

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