Research Project

1. 在roboticvision1服务器上创建用户： user:uni pass:804115906 (1) ssh -X robotvision1@robotvision1.cs.adelaide.edu.au Password for robotvision1: sudo adduser uni Password for robotvision1: follow steps... %根据提示操作 (2)连接到服务器以后，在桌面左下角可以到： Connect to Server: (3) Sever Address:  sftp//:roboticvision1.cs.adelaide.edu.au ctrl+L 能看到地址 ctrl+D 新建一个bookmark 2.在终端链接服务器 ssh -X uni@roboticvision1.cs.adelaide.edu.au password:804115906 nautilus    %打开文件夹浏览器 watch nvidia -smi    %查看GPU等信息 matlab %启动服务器上的matlab程序 matlab -nodesktop  %启动服务器上的matlab程序（在terminal下运行） 二.连接phoenix服务器 sftp://phoenix.adelaide.edu.au/ user:a1711327 pass:ly804115@ Ctrl+L % 查看目录 /data/acvt Directory: sftp://phoenix.adelaide.edu.au/fast/users

%%check in terminal watch nvidia-smi  % check  if cuda has installed already cuda install:  http://docs.nvidia.com/cuda/cuda-installation-guide-linux/index.html cuda and tensorflow:  https://github.com/mind/wheels#mkl # Install CUDA 8 curl -O http://developer.download.nvidia.com/compute/cuda/repos/ubuntu1604/x86_64/cuda-repo-ubuntu1604_8.0.61-1_amd64.deb sudo dpkg -i cuda-repo-ubuntu1604_8.0.61-1_amd64.deb sudo apt-get update sudo apt-get install cuda-8-0 # Install CUDA 9 curl -O http://developer.download.nvidia.com/compute/cuda/repos/ubuntu1604/x86_64/cuda-repo-ubuntu1604_9.0.176-1_amd64.deb sudo dpkg -i cuda-repo-ubuntu1604_9.0.176-1_amd64.deb sudo apt-key adv --fetch-keys http://developer.download.nvidia.com/compute/cuda/repos/ubuntu1604/x86_64/7fa2af80.pub sudo apt-get update sudo apt-get install cuda Make sure that CUDA-related environment variables are set properly: echo ' export CUDA_HOME=/usr/local/cuda ' >> ~ /.bashrc echo ' export ...