Address resource mapping in a shared memory computer system
    1.
    发明授权
    Address resource mapping in a shared memory computer system 有权
    在共享内存计算机系统中处理资源映射

    公开(公告)号:US09176669B2

    公开(公告)日:2015-11-03

    申请号:US13833956

    申请日:2013-03-15

    CPC classification number: G06F3/06 G06F12/0284 G06F12/063

    Abstract: An algorithm for mapping memory and a method for using a high performance computing (“HPC”) system are disclosed. The algorithm takes into account the number of physical nodes in the HPC system, and the amount of memory in each node. Some of the nodes in the HPC system also include input/output (“I/O”) devices like graphics cards and non-volatile storage interfaces that have on-board memory; the algorithm also accounts for the number of such nodes and the amount of I/O memory they each contain. The algorithm maximizes certain parameters in priority order, including the number of mapped nodes, the number of mapped I/O nodes, the amount of mapped I/O memory, and the total amount of mapped memory.

    Abstract translation: 公开了一种用于映射存储器的算法和一种使用高性能计算(“HPC”)系统的方法。 该算法考虑了HPC系统中物理节点的数量以及每个节点中的内存量。 HPC系统中的一些节点还包括输入/​​输出(“I / O”)设备,如显卡和具有板上存储器的非易失性存储接口; 该算法还考虑了这些节点的数量以及它们各自包含的I / O存储器的数量。 该算法使优先级顺序中的某些参数最大化,包括映射节点的数量,映射的I / O节点的数量,映射的I / O存储器的数量以及映射的存储器总量。

    Address Resource Mapping In A Shared Memory Computer System
    2.
    发明申请
    Address Resource Mapping In A Shared Memory Computer System 有权
    在共享内存计算机系统中的地址资源映射

    公开(公告)号:US20140281334A1

    公开(公告)日:2014-09-18

    申请号:US13833956

    申请日:2013-03-15

    CPC classification number: G06F3/06 G06F12/0284 G06F12/063

    Abstract: An algorithm for mapping memory and a method for using a high performance computing (“HPC”) system are disclosed. The algorithm takes into account the number of physical nodes in the HPC system, and the amount of memory in each node. Some of the nodes in the HPC system also include input/output (“I/O”) devices like graphics cards and non-volatile storage interfaces that have on-board memory; the algorithm also accounts for the number of such nodes and the amount of I/O memory they each contain. The algorithm maximizes certain parameters in priority order, including the number of mapped nodes, the number of mapped I/O nodes, the amount of mapped I/O memory, and the total amount of mapped memory.

    Abstract translation: 公开了一种用于映射存储器的算法和一种使用高性能计算(“HPC”)系统的方法。 该算法考虑了HPC系统中物理节点的数量以及每个节点中的内存量。 HPC系统中的一些节点还包括输入/​​输出(“I / O”)设备,如显卡和具有板上存储器的非易失性存储接口; 该算法还考虑了这些节点的数量以及它们各自包含的I / O存储器的数量。 该算法使优先级顺序中的某些参数最大化,包括映射节点数,映射I / O节点数,映射I / O内存量以及映射内存总量。

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