HYBRID MEMORY MANAGEMENT APPARATUS AND METHOD FOR MANY-TO-ONE VIRTUALIZATION ENVIRONMENT

    公开(公告)号:US20220147462A1

    公开(公告)日:2022-05-12

    申请号:US17524441

    申请日:2021-11-11

    Abstract: Disclosed herein are a hybrid memory management apparatus and method for an many-to-one virtualization environment. The hybrid memory management apparatus is implemented in an inverse-virtualization-based multi-node computing system including multiple physical nodes, each containing hybrid memory in which DRAM and NVRAM coexist, a virtual machine, and hypervisors, and includes memory for storing at least one program, and a processor for executing the program, wherein the program includes a remote request service module for processing a page-related request with reference to the hybrid memory and responding to the page-related request by transmitting a result of processing, an internal request service module for processing an internal page fault request with reference to a hybrid memory and responding to the internal page fault request, and a data arrangement module for responding to an inquiry request for a location at which a newly added page is to be arranged in the hybrid memory.

    TIMER MANAGEMENT APPARATUS
    5.
    发明申请
    TIMER MANAGEMENT APPARATUS 审中-公开
    定时器管理装置

    公开(公告)号:US20160179716A1

    公开(公告)日:2016-06-23

    申请号:US14972359

    申请日:2015-12-17

    CPC classification number: G06F13/24 Y02D10/14

    Abstract: Disclosed herein is a timer management apparatus in which contiguous timer interrupts of an operating system run on IT equipment (desktop computers, servers, mobile devices, etc.) are coalesced and processed. Accordingly, the timer management apparatus may minimize interrupt processing load and maximize system idle time, thus improving the standby power saving effect. The proposed timer management apparatus includes a timer addition sub-module unit for adding a new timer to a timer group including one or more timers, a timer deletion sub-module unit for deleting any of the registered timers that is intended to be deleted, and a timer expiration sub-module unit for simultaneously processing timers to be expired through a single interrupt processing operation.

    Abstract translation: 这里公开了一种定时器管理装置,其中在IT设备(台式计算机,服务器,移动设备等)上运行的操作系统的连续计时器中断被合并和处理。 因此,定时器管理装置可以最小化中断处理负载并最大化系统空闲时间,从而提高备用省电效果。 所提出的定时器管理装置包括:定时器附加子模块单元,用于将新的定时器添加到包括一个或多个定时器的定时器组;定时器删除子模块单元,用于删除要被删除的任何登记的定时器;以及 定时器到期子模块单元,用于通过单个中断处理操作同时处理定时器到期。

    LOAD BALANCING APPARATUS AND METHOD
    6.
    发明申请
    LOAD BALANCING APPARATUS AND METHOD 审中-公开
    负载平衡装置和方法

    公开(公告)号:US20150263958A1

    公开(公告)日:2015-09-17

    申请号:US14660062

    申请日:2015-03-17

    CPC classification number: H04L47/125 G06F9/505 Y02D10/22

    Abstract: Disclosed herein is a load balancing apparatus and method. The load balancing apparatus includes a load characteristic analysis unit for analyzing characteristics of a required load upon executing a service requested by a client, a scheduling unit for scheduling the load based on the analyzed characteristics, and a load balancing unit for allocating the load stored in a queue corresponding to the analyzed characteristics to a server group into which servers are grouped for respective characteristics, performing service provisioning, and then allocating the load to an available server.

    Abstract translation: 这里公开了一种负载平衡装置和方法。 负载平衡装置包括:负载特性分析单元,用于在执行由客户端请求的服务时分析所需负载的特性;调度单元,用于基于所分析的特性来调度负载;负载平衡单元,用于分配存储在 将分析的特征对应于服务器组的队列,根据各自的特征对服务器进行分组,执行服务提供,然后将负载分配给可用的服务器。

    APPARATUS AND METHOD FOR MANAGING GIANT MODEL

    公开(公告)号:US20250148362A1

    公开(公告)日:2025-05-08

    申请号:US18678634

    申请日:2024-05-30

    Abstract: Disclosed herein is an apparatus and method for managing a giant model. The apparatus includes memory in which at least one program is recorded and a processor for executing the program. The program may perform lightweighting a first model into a second model in consideration of hardware resources, generating partitioning information of the first model based on a result of analysis of the second model, and performing training or inference for the first model based on the generated partitioning information.

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