From dfa4000086ce4840fa9fdc88dffcf5fbb821198f Mon Sep 17 00:00:00 2001 From: Anders Bjorholm Dahl <abda@dtu.dk> Date: Wed, 9 Apr 2025 07:14:51 +0200 Subject: [PATCH] Update Readme.md --- Chapter10/Readme.md | 8 ++++++-- 1 file changed, 6 insertions(+), 2 deletions(-) diff --git a/Chapter10/Readme.md b/Chapter10/Readme.md index e88273a..c06c52c 100644 --- a/Chapter10/Readme.md +++ b/Chapter10/Readme.md @@ -45,8 +45,12 @@ We are working on establishing an easier way of using Gbar functionality which d First go to QIM platform [https://platform.qim.dk/](https://platform.qim.dk/) and log on using your DTU credentials. -Under Tools menu, choose Jupyter launcher. In the new window yype in your DTU credentials (needs to be done twice). Under basic config QIM environment choose `qim3d` (it has the largest number of packages installed). Under advanced config choose HPC queue called `gpuqim`. Tick the checkbox Reset SSH tunnel. Click the button `Start jupyter server`. +Under Tools menu, choose Jupyter launcher. In the new window type in your DTU credentials (needs to be done twice). Press the square to put a checkmark at `Show detailed configuration`. You can here choose to configure your setup. -The platform shold launch your job and a button with `Open Jupyter` should appear, leading you to a jupyter server running in your home directory on the Gbar. +The `Root directory` determines the root of Jupyter. + +The `Conda environment` is by default `hpc`, which is CPU. So choose one of the GPU ques. The smaller machines like `gpua10` or `gpua40` are fine. + +The platform shold launch your job and a button with `Open Jupyter` should appear, leading you to a Jupyter server running in your home directory on the Gbar. -- GitLab