Changes between Version 10 and Version 11 of User Guide/Disk Images
- Timestamp:
- May 8, 2020, 11:25:08 PM (5 years ago)
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User Guide/Disk Images
v10 v11 1 = Node Images 1 [[Include(WikiToC)]] 2 == Node Images 2 3 3 == Summary4 === Summary 4 5 5 6 The imaging process is executed by the commands 'omf load' and 'omf save' … … 11 12 The baseline image is a recommended starting point, as this provisioning tool does not currently work with standard .iso or similar files, instead using a custom compressed .ndz format. 12 13 13 == Security and Access14 === Images14 === Security and Access 15 ==== Images 15 16 16 17 Images you save are saved to the directory "/export/omf-images-5.4/" … … 18 19 They have permissions to be writable by your user, and readable by your group, and all logged in users. You can customize this via the chmod and chown commands. For example, you may want to restrict the ablility to load your images to only members of a specific group. 19 20 20 === SSH21 ==== SSH 21 22 22 23 ** … … 33 34 34 35 35 == List of pre-defined images36 === List of pre-defined images 36 37 37 38 … … 43 44 || baseline_tensorflow.ndz || baseline + cuda + drivers + tensorflow || native || n/a || 44 45 || baseline_pytorch.ndz || baseline + cuda + drivers + pytorch || native || n/a || 45 === Baseline Image 46 47 ==== Baseline Image 46 48 47 49 The baseline image is a very bare install of Ubuntu 18.04 Bionic … … 53 55 You may periodically want to re-create your experimental images when a new baseline has been relased, to support new hardware, or newer drivers, etc. 54 56 55 === Baseline UHD57 ==== Baseline UHD 56 58 Baseline UHD has UHD images downloaded, and uhd3.14 installed from source. 57 59 58 === Baseline SDR60 ==== Baseline SDR 59 61 60 === Baseline CUDA62 ==== Baseline CUDA 61 63 The cuda baseline image is meant to be run on the cosmos server machines containing V100 GPUs. It is built with Nvidia drivers for the GPUs and CUDA libraries for general purpose GPU programming. The baseline image is built with driver version 410.104 with cuda 10.0 libraries. 62 64