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GPU METHOD AND SYSTEM FOR PROVIDING DEVELOP ENVIRONMENT OF DEEP LEARNING BASED GPU

机译:提供基于深度学习的GPU的开发环境的GPU方法和系统

摘要

The present invention operates on an operating system, a docker unit for generating a docker container based on a docker image in which a development environment is built, a GPU monitoring unit for monitoring GPU resources installed in a plurality of nodes, and at the request of a host computing device. A job scheduling unit for allocating GPU resources based on the monitored GPU resources, and creating a docker container based on the allocated GPU resources and the docker image stored in the docker unit, and providing them to the host computing device, and the host computing device Provides a GPU-based deep learning development environment providing system including a development environment providing unit that provides a development environment capable of performing deep learning training with the generated docker container according to information input or set by the host computing device. Can.
机译:本发明在操作系统上运行,用于基于其中构建有开发环境的泊坞窗映像生成泊坞窗容器的泊坞窗单元,用于监视安装在多个节点中的GPU资源的GPU监视单元,并且根据以下要求进行操作:主机计算设备。作业调度单元,用于基于监视的GPU资源来分配GPU资源,并且基于所分配的GPU资源和存储在泊坞单元中的泊坞窗映像来创建泊坞窗容器,并将它们提供给主机计算设备和主机计算设备提供基于GPU的深度学习开发环境提供系统,其包括开发环境提供单元,该开发环境提供单元提供能够根据主机计算设备输入或设置的信息对所生成的docker容器执行深度学习训练的开发环境。能够。

著录项

  • 公开/公告号KR102140730B1

    专利类型

  • 公开/公告日2020-08-04

    原文格式PDF

  • 申请/专利权人 XII LAB;

    申请/专利号KR20190168633

  • 发明设计人 이우영;안주현;김세훈;

    申请日2019-12-17

  • 分类号G06F9/50;G06F9/451;G06N3/08;

  • 国家 KR

  • 入库时间 2022-08-21 11:04:05

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